Jobs in the United States

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Fire Protection Engineer - Staff (Job 1519)
DLH
Bethesda, MD
- $105,000 to $110,000 USD / year
…including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is dedicated to the idea that “Your Mission is Our…
Added 3 mins ago
AI and Data Science Solution Engineer
MIT Lincoln Laboratory
Lexington, MA
The Homeland Sensors and Analytics group is seeking a researcher and engineer to build software solutions incorporating advanced algorithms, AI/ML, and data science models. This work will…
Added 4 mins ago
Network Engineer III / Information Technologist III
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East Lansing, MI
…university. Reporting to the Network Planning Manager, the Network Engineer III will primarily perform the following…
Added 5 mins ago
Staff Analytics Engineer
Sony Interactive Entertainment (SIE)
San Mateo, CA
Sony Interactive Entertainment LLC seeks a Staff Analytics Engineer in San Mateo, CA to design and implement curated analytics data products (gold datasets) with clear ownership,…
Added 5 mins ago
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DISTINGUISHED SCIENTIST/ENGINEER FOR USW THEATER OPERATIONS
Naval Sea Systems Command
Naval Base Newport, RI
- $192,695 to $209,600 USD / year
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Added 6 mins ago
Software Development Engineer, Leo Telemetry Platform
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Redmond, WA
…software infrastructure that enables multi-region telemetry data ingestion, health monitoring, and trend analysis across Amazon's Leo systems. As the core team building and managing these…
Added 6 mins ago
Sr. Software Dev Engineer, Leo Telemetry Platform
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Added 8 mins ago
Staff Full-stack Engineer - Shopping (Remote-eligible)
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Senior Business Intelligence Engineer
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Washington, DC
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Data Scientist 1
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Care Coverage Analytics supports the data science and advanced analytics needs of Baylor Scott & White
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Lead Data Engineer-Snowflake
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Washington, DC
- $115,000 to $135,000 USD / year
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Added 8 mins ago
Supply Chain Capacity Engineer
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Core Senior .NET Software Engineer
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The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…
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Data Scientist and Automation Engineer, Senior
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Added 8 mins ago
IT Development and Analysis (Enterprise Applications Engineer)
Justice, Office of the Inspector General
Washington, DC
…Department of Justice. The incumbent will serve as an Applications Engineer in the Office of Management Services. Responsibilities As a GS-13 IT Development and Analysis (Enterprise…
Added 8 mins ago
Lead Data Engineer
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Remote, United States
We are seeking a Lead Data Engineer with strong experience in AI/ML data pipelines, feature engineering, and scalable data architectures. This role will lead the design, development, and…
Added 11 mins ago
IT Systems Engineer I
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Remote, United States
YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our…
Added 12 mins ago
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Senior Manager– AI Governance & Controls Engineering
AbbVie
North Chicago, IL
- $124,500 to $236,500 USD / year
…team - including direct oversight of the Principal Quality Engineer, AI Controls Engineering role - , manages critical partnerships and contracts, and champions continuous process…
Added 16 mins ago
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CRO Specialist
Shero Commerce
Remote, United States
- $90,000 to $120,000 USD / year
Identify tracking and measurement issues that could affect CRO decisions, and work with the Marketing Technology Engineer to validate data, resolve issues, and ensure reliable test results.
Added 17 mins ago
Staff Full-stack Engineer - Shopping (Remote-eligible)
Capital One
Frankfort, KY
As a Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of…
Added 17 mins ago
Senior Business Intelligence Engineer
Humana
Frankfort, KY
The Senior Business Intelligence (BI) Engineer engages with business value streams on diverse and complex opportunities leveraging a variety of technology platforms. The individual will…
Added 17 mins ago
Data Scientist 1
Baylor Scott & White Health
Frankfort, KY
Care Coverage Analytics supports the data science and advanced analytics needs of Baylor Scott & White
Added 17 mins ago
Software Engineer Mid Level
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Annapolis Junction, MD · Columbia, MD
Develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets,…
Added 17 mins ago
Core Senior .NET Software Engineer
Evolent
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The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…
Added 17 mins ago
C
Lead Data Engineer-Snowflake
Cognizant
Frankfort, KY
- $115,000 to $135,000 USD / year
As a Lead Data Engineer – Snowflake , you will make an impact by designing and delivering scalable, high-performance data solutions that enable critical business insights and operational…

Data Analytics Engineer

United States

$84 580,00 - $118 020,00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. · Full-time

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Job details

Pay: $84 580,00 - $118 020,00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
Job type: Full-time
Experience: 2+ years of progressive experience in Data Engineering, Big Data Analytics, or a related technical role.
Posting language: English
Posted: Nov 4, 2026

Original job description

Overview of the Role:

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

The Data Analytics Engineer is a hands-on technical role within the Data Analytics team, responsible for designing, building, and optimizing scalable data pipelines, data transformation frameworks, and analytics solutions across distributed cloud and enterprise big data platforms. This position combines core data engineering expertise in Python, PySpark, Snowflake, Databricks, and Hadoop with a modern engineering mindset that leverages AI Coding Agents and developer tools to accelerate delivery and maintain high code quality. The role requires close collaboration with business analysts, data scientists, and functional stakeholders to translate complex business challenges into resilient, high-performance data products. Candidates should bring 2+ years of progressive experience in data engineering or big data analytics, along with strong analytical thinking, problem-solving, and cross-functional communication skills. This opportunity offers exposure to large-scale legacy-to-cloud data migration efforts alongside the adoption of next-generation, AI-augmented engineering practices.

Responsibilities:

Design, implement, and maintain robust, end-to-end data pipelines for batch and real-time processing using Python, PySpark, Databricks, and Snowflake.
Manage, migrate, and optimize legacy datasets and workloads across enterprise Hadoop ecosystems to modern cloud data platforms.
Optimize pipeline performance, query execution times, resource allocation, and storage costs across distributed environments.
Partner with business analysts, data scientists, and functional stakeholders to understand requirements and formulate analytical approaches. Deliver actionable insights that address complex business challenges.
Apply structured root-cause analysis and analytical problem-solving techniques to diagnose data anomalies, pipeline bottlenecks, and complex logic issues.
Create automated data validation, reconciliation, and quality monitoring frameworks to ensure high data integrity and compliance.
Actively incorporate next-generation AI Coding Agents and developer assistants, such as Devin, GitHub Copilot, and Cursor, into daily development, code reviews, automated unit testing, and technical documentation workflows.
Drive engineering productivity by adopting best practices in automated refactoring, rapid prototyping, and AI-augmented debugging.
Stay current with emerging tools, data architecture, and AI-enabled data engineering methodologies.
Follow disciplined CI/CD release practices, Git-based version control, code quality gates, and automated test coverage.
Ensure all data pipelines and storage solutions comply with enterprise data governance, data lineage, information security, and regulatory standards.
Author comprehensive technical design documents, data dictionary definitions, and operational runbooks.

Qualifications:

2+ years of progressive experience in Data Engineering, Big Data Analytics, or a related technical role.
Bachelor's or Master's degree in Computer Science, Data Analytics, Information Technology, Statistics, Engineering, or a related quantitative field, or equivalent practical experience.
Advanced proficiency in Python, including Pandas, PySpark, and NumPy. Strong understanding of object-oriented programming, data structures, and modular design.
Strong hands-on experience developing large-scale distributed data transformations in PySpark and Databricks.
Proven expertise in Snowflake architecture and SnowSQL. Hands-on experience with data loading and unloading using Snowpipe, Tasks, and Streams, as well as clustering and query profiling.
Solid understanding of the Hadoop ecosystem, including HDFS, Hive, MapReduce, and YARN. Experience migrating and integrating Hadoop workloads with modern cloud architectures.
Expert-level SQL skills for complex querying, window functions, and dimensional and relational data modeling.
Practical knowledge and working experience using AI Coding Agents and assistants, such as Devin, GitHub Copilot, and Cursor, to boost engineering velocity and code reliability.
Proven ability to break down complex analytical problems, design scalable technical solutions, and communicate findings clearly to diverse stakeholders.
Familiarity with workflow orchestration tools, such as Apache Airflow, Prefect, or Databricks Workflows, is preferred.
Experience with CI/CD tools, such as Git, Jenkins, Tekton, or Harness, is preferred. Familiarity with containerization basics, such as Docker, is also preferred.
Exposure to financial services, banking domain data, or risk and compliance data platforms is preferred.
Familiarity with DataOps, test-driven development, and automated data quality frameworks, such as Great Expectations, is preferred.

Education:

Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Technology, Statistics, Engineering, or a related quantitative field (or equivalent practical experience).

Preferred / Nice-to-Have Skills:

Familiarity with workflow orchestration tools (e.g., Apache Airflow, Prefect, Databricks Workflows).
Experience with CI/CD tools (Git, Jenkins, Tekton, Harness) and containerization basics (Docker).
Exposure to financial services, banking domain data, or risk/compliance data platforms.
Familiarity with DataOps, test-driven development (TDD), and automated data quality frameworks (e.g., Great Expectations).

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology------------------------------------------------------

Job Family:

Applications Development------------------------------------------------------

Time Type:

Full time------------------------------------------------------

Primary Location:

Irving Texas United States------------------------------------------------------

Primary Location Full Time Salary Range:

$84 580,00 - $118 020,00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------

Anticipated Posting Close Date:

nov 11, 2026------------------------------------------------------ Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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