Data Engineers Salaries in Georgia

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You will collaborate with Product Owners and other team members on subjects from design to deployment.<\/p>

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Strong experience in Palantir Foundry<\/p>

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Design and develop data ingestion templates and ETL processes within Palantir Foundry<\/p>

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Collaborate with domain consumers to build domain-specific data applications using Palantir Foundry tools such as Quiver Vertex Workshop and Object Explorer pipeline builder etc.<\/p>

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Create and maintain an ontology structure as per data requirements.<\/p>

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Solution and implement data management controls including data quality role based access data classification & data archiving as part of data ingestion and building the Ontology.<\/p>

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Develop & maintain monitoring solution to track data pipeline statistics and enable proactive issue detection and resolution.<\/p>

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Broad software development skills ranging from software development to data engineering.<\/p>

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Implement solutions in collaboration with end-users.<\/p>

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BS\/MS degree in Computer Science Engineering or a related subject or related experience.<\/p>

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Hands-on web development experience required including HTML5 and CSS.<\/p>

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Hands-on application data analytics and data transformation development experience with JavaScript\/TypeScript Java Python PySpark and SQL required.<\/p>

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Experience working within Agile\/Scrum development teams Agile tools like Team Services or JIRA and IDEs like VS Code and source control in Azure DevOps or Git<\/p>

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Detail-oriented drive for accuracy and completeness for data pipeline processing.<\/p>

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Experience with UX\/UI design is a plus<\/p>

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Salary and Other Compensation:

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Applications will be accepted until 25^{th<\/sup> Oct 2024. <\/p>}

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The annual salary for this position is between $137,500- $161,500 depending on experience and other qualifications of the successful candidate.<\/p>

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This position is also eligible for Cognizants discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizants applicable plans.<\/p>

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Benefits<\/strong>: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:<\/p>

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• Medical\/Dental\/Vision\/Life Insurance

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• Paid holidays plus Paid Time Off

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• 401(k) plan and contributions

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• Long-term\/Short-term Disability

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• Paid Parental Leave

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• Employee Stock Purchase Plan

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  Disclaimer:<\/strong> The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.<\/p>

  <\/p><\/body><\/html>","company":"Cognizant","city":"Atlanta","inferred_city":"Atlanta","inferred_city_with_inferred_state":"Georgia | Atlanta","inferred_cbsa":null,"fips":null,"is_metropolitan":null,"state":"GA","inferred_state":"Georgia","country":"US","inferred_country":"United states","created":"2024-10-25T05:30:05.702972+00:00"},"sort":[1729468800000]},{"_index":"job__2024_04_30__10_26_27","_type":"_doc","_id":"n-vSupIBiQC7O0cMBy6W","_score":null,"_source":{"unique_id":"8249285c-83de-54e1-8b4b-e163a4540fc4","key":"b55b487bfb24e6ed522257aa708798e4","title":"Data Engineer - Life Sciences Sector - Manager - Consulting - Location OPEN","inferred_title":"Data engineer - life sciences sector - manager - consulting","salary_offered":"124300 - 227900 USD \/YEAR","inferred_salary_from":124300,"inferred_salary_to":227900,"inferred_salary_yearly_from":124300,"inferred_salary_yearly_average":176100,"inferred_salary_yearly_to":227900,"inferred_salary_yearly_range_spread":0.83,"inferred_salary_currency":"USD","inferred_salary_time_unit":"yearly","inferred_max_experience":10,"inferred_average_experience":8,"inferred_min_experience":6,"inferred_seniority_level":"Mid Level","sign_on_bonus":null,"url":"https:\/\/www.linkedin.com\/jobs\/view\/data-engineer-life-sciences-sector-manager-consulting-location-open-at-ey-4054479747","type":"Full Time","category":"Information Technology","board":"Linkedin","post_date":"2024-10-21","is_remote":false,"html_description":"

  At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.The exceptional EY experience. It's yours to build.EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.Consulting Manager, Data Engineering, Life Science Sector: This position can be anywhere in the country.The OpportunityOur Artificial Intelligence and Data team is dedicated to implementing cutting-edge technology and techniques to deliver innovative solutions to our clients in the Life Science sector. As a Manager, you will work closely with clients and interdisciplinary teams within EY to provide comprehensive solutions to complex challenges, some of which are unprecedented. Your role will be dynamic, involving continuous research and development, and will require a passion for continuous learning. You will be expected to stay ahead of industry trends and influence new methodologies to position solutions effectively for our clients. This role offers significant client interaction, a fast-paced work environment, and the opportunity to shape your career path based on your unique skills and ambitions.Your Key ResponsibilitiesIn this role, you will collaborate with a diverse range of clients to deploy the latest data engineering technologies and methodologies. You will design and build robust, scalable solutions for Life Science clients that integrate and enrich data from various sources across a broad technology landscape. Your goal will be to help our clients make sense of complex data science, analytics, and software engineering challenges. You will provide guidance and perform technical development tasks to ensure data engineering solutions are properly engineered and maintained to support ongoing business needs.Joining our dynamic team, you will engage with scientists and engineers who are passionate about solving computational problems for our clients. Our team members often have advanced academic degrees or equivalent industry experience and excel in creative thinking, efficient application development, and collaboration in both solution ideation and the pursuit of new opportunities.Skills and Attributes for SuccessThis role requires delivering technology swiftly, innovating at scale, and placing humans at the center of solutions. You will provide technical guidance and share knowledge with team members from various backgrounds. You will consistently deliver quality client services, focusing on more complex, judgmental, and specialized issues surrounding emerging technology. You should demonstrate technical capabilities, professional knowledge, and a commitment to continuous learning about EY's service lines, actively seeking ways to apply your knowledge and services.To Qualify for the Role You Must Have

  • Bachelors degree and 6-10 years of full-time working experience in Data Engineering, Big Data, and related fields.<\/li>
  • 2-4 years of experience directly managing technical teams.<\/li>
  • At least 2 years working in the Life Science domain, developing data solutions for challenges in drug discovery, clinical trials, or patient data management.<\/li>
  • Strong skills in Python and other data manipulation languages.<\/li>
  • Experience with data engineering models and frameworks, including data ingestion, transformation, and insight generation.<\/li>
  • Extensive experience with DevOps tools like GIT, Azure DevOps, and Agile tools such as Jira for developing and deploying data solutions.<\/li>
  • A solid understanding of data engineering workflows, including data collection, transformation, and analysis.<\/li>
  • Experience with data engineering methods and platforms such as Apache Airflow or similar.<\/li>
  • Experience with CI\/CD and test-driven development.<\/li>
  • Experience designing, building, and maintaining data frameworks and pipelines.<\/li>
  • Proficiency in deploying data workflows on major cloud computing platforms.<\/li>
  • Understanding of data structures, data modeling, and software engineering best practices.<\/li>
  • Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.<\/li>
  • Experience with containerization and scaling data solutions.<\/li>
  • Integrating data solutions with downstream systems for reporting, dashboards, and AI-driven applications.<\/li>
  • Strong mathematical and quantitative skills.<\/li>
  • Willingness to travel to meet client obligations. <\/li> <\/ul>Ideally, Youll Also Have
    • Master's degree in Computer Science, Mathematics, Physical Sciences, or another quantitative field.<\/li>
    • Experience working with diverse teams to deliver complex data solutions.<\/li>
    • Skills in additional programming languages: R, JavaScript, Java, C++, C. <\/li> <\/ul>What We Look For
      • An agile, growth-oriented mindset and the ability to work in an agile manner to keep pace with a rapidly changing world.<\/li>
      • Curiosity and a purpose-driven approach to finding opportunities rather than seeing challenges.<\/li>
      • An inclusive attitude, valuing diverse perspectives, and fostering an environment of safety and trust. <\/li> <\/ul> What We Offer<\/strong>We offer a comprehensive compensation and benefits package where youll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, youll decide how much vacation time you need based on your own personal circumstances. Youll also be granted time off for designated EY Paid Holidays, Winter\/Summer breaks, Personal\/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
        • Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.<\/li>
        • Success as defined by you: Well provide the tools and flexibility, so you can make a meaningful impact, your way.<\/li>
        • Transformative leadership: Well give you the insights, coaching and confidence to be the leader the world needs.<\/li>
        • Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs. <\/li> <\/ul>EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. <\/strong> EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity\/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EYs Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com <\/div><\/body><\/html>","company":"EY","city":"Alpharetta","inferred_city":"Alpharetta","inferred_city_with_inferred_state":"Georgia | Alpharetta","inferred_cbsa":null,"fips":null,"is_metropolitan":null,"state":"GA","inferred_state":"Georgia","country":"US","inferred_country":"United states","created":"2024-10-23T05:30:05.114780+00:00"},"sort":[1729468800000]},{"_index":"job__2024_04_30__10_26_27","_type":"_doc","_id":"hOpcrpIBiQC7O0cMW1FT","_score":null,"_source":{"unique_id":"bb79b7e5-4c10-586e-b73a-5fda3e58779a","key":"c46ee70e5b05339a0270fd2df35613b9","title":"Senior Azure Data Engineer\/Architect (W2 or 1099 Only)","inferred_title":"Senior data engineer \/ architect","salary_offered":"130000 - 150000 USD \/YEAR","inferred_salary_from":130000,"inferred_salary_to":150000,"inferred_salary_yearly_from":130000,"inferred_salary_yearly_average":140000,"inferred_salary_yearly_to":150000,"inferred_salary_yearly_range_spread":0.15,"inferred_salary_currency":"USD","inferred_salary_time_unit":"yearly","inferred_max_experience":10,"inferred_average_experience":9,"inferred_min_experience":8,"inferred_seniority_level":"Mid Level","sign_on_bonus":null,"url":"https:\/\/www.linkedin.com\/jobs\/view\/senior-azure-data-engineer-architect-w2-or-1099-only-at-jrss-4054255532","type":"Full Time","category":"Information Technology","board":"Linkedin","post_date":"2024-10-19","is_remote":false,"html_description":"
          Location: Fully Remote but must be located in CONUS Company Overview: At JR Software Solutions, we are a leading consulting firm specializing in Cloud Data and AI\/ML solutions, proudly serving government and Fortune 500 clients. Our expertise in transforming IT infrastructure, driving innovation with AI and machine learning, and turning data into actionable insights sets us apart in the industry. We are seeking a highly skilled Azure Data Engineer\/Architect to join our talented team and contribute to the success of our projects. This position is for the Federal Government customer and accepts only US Citizens. Job Description: The Azure Data Engineer\/Architect will play a pivotal role in our federal client's data management, data integration, and business intelligence program. This position combines technical support responsibilities with a leadership role in designing, engineering, and overseeing the technical team responsible for creating a modernized data management solution stack. Key Responsibilities: Lead data architecture design to transform Oracle DB to Azure Synapse SQL and Azure managed services stack. Move from traditional data warehouse to data mesh architecture. Provide data architectural planning for data management platform and solution modernization. Conduct implementation roadmap planning and design Agile User Stories with technical specifications. Coordinate with the Lead Data Architect, Solutions Architect, and technical experts as needed. Qualifications: 10+ years' experience with Requirements Analysis, Solution Architecture Design, and data integration. 8+ years' experience working with clients to translate business strategy into solutions. 5+ years' hands-on experience with Azure Data Analytics platform, including Azure Data Factory, Azure Synapse Analytics, and more. Experience in data architectures such as data mesh, data vault 2.0, and familiarity with Data Lake house. BA or BS degree in Computer Science or related technical field. Additional Skills (Preferred): Microsoft Certified: Azure Data Engineer Associate. Experience with Azure ARM templates, PowerShell, CI\/CD using Azure DevOps\/GitHub Actions. Experience on an Agile delivery team and with collaboration tools like Jira\/Confluence. Company Benefits: 401k Plan: Enjoy a competitive 401k plan with a substantial 4% match. Paid Time Off (PTO): Receive 2 weeks of paid time off. Healthcare Coverage: Access comprehensive medical, dental, and vision insurance. Employee Investment: Commitment to investing in employees' success with a range of benefits. Salary Range: $130K to $150K base salary based on knowledge and years of experience. <\/div><\/body><\/html>","company":"JRSS","city":"Atlanta","inferred_city":"Atlanta","inferred_city_with_inferred_state":"Georgia | Atlanta","inferred_cbsa":null,"fips":null,"is_metropolitan":null,"state":"GA","inferred_state":"Georgia","country":"US","inferred_country":"United states","created":"2024-10-21T05:30:05.727856+00:00"},"sort":[1729296000000]},{"_index":"job__2024_04_30__10_26_27","_type":"_doc","_id":"HOnaqJIBiQC7O0cMVsRc","_score":null,"_source":{"unique_id":"9f3a81f1-89b2-53c3-a442-0a640bf4b029","key":"1fde501dff3c59623a0a214af363e011","title":"Software engineer - 1 (Data\/SQL\/Python)","inferred_title":"Software engineer - data \/ sql \/ python","salary_offered":"83810 - 108460 USD \/YEAR","inferred_salary_from":83810,"inferred_salary_to":108460,"inferred_salary_yearly_from":83810,"inferred_salary_yearly_average":96135,"inferred_salary_yearly_to":108460,"inferred_salary_yearly_range_spread":0.29,"inferred_salary_currency":"USD","inferred_salary_time_unit":"yearly","inferred_max_experience":3,"inferred_average_experience":2.5,"inferred_min_experience":2,"inferred_seniority_level":"Mid Level","sign_on_bonus":null,"url":"https:\/\/www.careerjet.com\/jobad\/us11e9d3d9b5953133d6aff7f1b13d486a","type":"Full Time","category":null,"board":"careerjet","post_date":"2024-10-18","is_remote":false,"html_description":"

          At U.S. Bank, were on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more oftenthats what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel atall from Day One.<\/span>As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goalsno matter what they need. From transaction processing to customer service, to driving innovation and launching new products, were building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.<\/span>Job Description<\/b><\/span>This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.<\/span>Essential Responsibilities:<\/b> - Responsible for designing, developing, testing, operating and maintaining products - Takes full stack ownership by consistently writing production-ready and testable code - Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems\/contexts affected when defining technical designs - Performs analysis on failures, propose design changes, and encourage operational improvements - Makes sound design\/coding decisions keeping customer experience in the forefront - Takes feedback from code review and apply changes to meet standards - Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures - Accountable for ensuring all aspects of product development follow compliance and security best practices - Exhibits relentless focus in software reliability engineering standards embedded into development standards - Embraces emerging technology opportunities and contributes to the best practices in support of the banks technology transformation - Contributes to a culture of innovation, collaboration and continuous improvement - Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation<\/span>Basic Qualifications<\/b> - Bachelors degree, or equivalent work experience - Two to three years of relevant experience<\/span>Preferred Skills\/Experience<\/b>

          • Enthusiastic and knowledgable on Data Architecture<\/li>
          • Expertise in SQL, Python<\/li>
          • In-depth understanding of database structures and principles<\/li>
          • Knowledge of data mining and segmentation techniques<\/li>
          • Familiarity with data visualization tools (e.g. Tableau, PowerBI) and Oracle<\/li>
          • Proven analytical skills<\/li>
          • Problem-solving attitude<\/li>
          • Experience gathering and analyzing system requirements<\/li> <\/ul> Location Expectations<\/span>The role offers a hybrid\/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.<\/span>If theres anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our .<\/span>Benefits:<\/b><\/span>Our approach to benefits and total rewards considers our team members whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):<\/span>Healthcare (medical, dental, vision)<\/span>Basic term and optional term life insurance<\/span>Short-term and long-term disability<\/span>Pregnancy disability and parental leave<\/span>401(k) and employer-funded retirement plan<\/span>Paid vacation (from two to five weeks depending on salary grade and tenure)<\/span>Up to 11 paid holiday opportunities<\/span>Adoption assistance<\/span>Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law<\/span>EEO is the Law<\/span>U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors. Applicants can learn more about the companys status as an equal opportunity employer by viewing the federal EEO poster.<\/span>E-Verify<\/span>U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the .<\/span>The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $83,810.00 - $98,600.00 - $108,460.00<\/span>U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and\/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.<\/span>Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.<\/span>Job postings typically remain open for approximately 20 days of the posting date listed above, however the job posting may be closed earlier should it be determined the position is no longer required due to business need. Job postings in areas with a high volume of applicants, such as customer service, contact center, and Financial Crimes investigations, remain open for approximately 5 days of the posting listed date.

            U.S. Bank

            Job Title: Big Data Engineer<\/span>Job Location: Atlanta, GA (Onsite Day one)<\/span>Experience : 8years<\/span>Rate: $60\/hr candidate rate<\/span>Job Description<\/b>

            • Have hands-on knowledge of Spark (Scala preferred), Hadoop, Kafka etc<\/li>
            • Develop batch and streaming solutions using various Big Data technology.<\/li>
            • Have strong programming knowledge in Java, Scala, or Python.<\/li>
            • Have experience working with real-time or near real-time ingestion.<\/li>
            • Be familiar with Agile\/Scrum methodologies.<\/li> <\/ul>

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