Jobs in the United States

25+ jobs

Added 1 min ago
NS
DISTINGUISHED SCIENTIST/ENGINEER FOR USW THEATER OPERATIONS
Naval Sea Systems Command
Naval Base Newport, RI
- $192,695 to $209,600 USD / year
…in theater-scale architectures, operational planning tools, data fusion, advanced analytics, artificial intelligence/machine learning (AI/ML), platform-generated data integration, interface…
Added 1 min ago
Enterprise Customer Success Manager
Netradyne
Nashville, TN · San Diego, CA · San Francisco, CA
Translate Netradyne data, analytics, and product insights into compelling business and ROI narratives.
Added 1 min ago
Sr. Software Dev Engineer, Leo Telemetry Platform
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
…customer terminals. Our team designs and operates large-scale data and compute systems that enable training, inference, and agentic intelligence for optimizing network performance, routing,…
Added 2 mins ago
Director, Workday/HRIS
Fullsteam Personnel, LLC
Remote, United States
…efficient, secure and reliable solutions that support business operations, enhance the employee experience, and enable data-driven decision-making. This role requires the ability to move…
Added 3 mins ago
Area Project Controls Lead, Mega Campus
Meta
Washington, DC
We are seeking a candidate for a key project leadership role leading project controls operations for an AI enabling infrastructure campus, Mega Campus (1 GW+), of unprecedented scale and of…
Added 3 mins ago
Medical Director - Utilization Management/Care Management, Select Health
Intermountain Health
Washington, DC
Strategic Leadership: Develop and implement UM and CM strategies using data analytics, technology, and cost-benefit analysis tooptimizecovered services and care management efforts.
Added 3 mins ago
Supply Chain Capacity Engineer
Meta
Washington, DC
Partner across Infra - platform teams, server hardware engineering, network engineering, data center engineering, operations, capacity planning, networking planning, data center planning,…
Added 3 mins ago
C
AI-Augmented Data Analyst
Cognizant
Washington, DC
- $115,000 to $135,000 USD / year
Build and maintain analytical datasets, data marts, and reporting assets that support business intelligence and advanced analytics initiatives.
Added 3 mins ago
SO
Vice President Enterprise Technology and Innovation
Strategic Operational Solutions
Ashburn, VA
- $180,000 to $200,000 USD / year
…mission outcomes, and support business growth through artificial intelligence (AI), automation, data analytics, and emerging…
Added 4 mins ago
Marketing & Applications Manager AMS - Digital Health Solutions
Abbott Laboratories
Lake Forest, IL
…as the bridge between Product Management, Sales, Commercial Operations, Customer Success, and Marketing to develop and execute go-to-market strategies that accelerate growth, strengthen…
Added 5 mins ago
Senior Manager, Sales Finance & FP&A
Reynolds Consumer Products
Lake Forest, IL
…Category/Insights, Digital, Demand Planning, Supply Chain, Operations and Technology to translate commercial opportunities and risks into clear financial…
Added 5 mins ago
DD
Sr Mgr-Disney Central Data & Insights
Disney Destinations, LLC
Orlando, FL · Tampa, FL
- $134,500 to $180,400 USD / year
Those words ring true now more than ever, emphasizing the importance of this leader. The Senior Manager, Disney Central Data & Insights will lead our internal data strategy, governance, and…
Added 6 mins ago
Business Development Representative (BDR)
GenLogs Corporation
Remote, United States
GenLogs is a transportation-technology company building the next generation of truck intelligence. Through a nationwide network of sensors and proprietary data, We deliver real-time,…
Added 12 mins ago
AI Digital Product Manager
Sherwin-Williams
Cleveland, OH
Collaborate with data scientists and analytics teams to leverage behavioral data, digital product analytics, and AI model outputs to drive continuous improvement.
Added 12 mins ago
Product Management Manager
USAA Federal Savings Bank
Charlotte, NC
Leverage resources to gather analytics, competitive intelligence, and member information to support formulation of product strategy.
Added 13 mins ago
Area Project Controls Lead, Mega Campus
Meta
Frankfort, KY
We are seeking a candidate for a key project leadership role leading project controls operations for an AI enabling infrastructure campus, Mega Campus (1 GW+), of unprecedented scale and of…
Added 13 mins ago
The Vice President, Enterprise Technology & Innovation
Omniscius Consulting
Ashburn, VA
Internal enterprise transformation: Transform how the organization operates through data, AI, automation, analytics, process redesign, and enterprise integration.
Added 13 mins ago
Medical Director - Utilization Management/Care Management, Select Health
Intermountain Health
Frankfort, KY
Strategic Leadership: Develop and implement UM and CM strategies using data analytics, technology, and cost-benefit analysis tooptimizecovered services and care management efforts.
Added 13 mins ago
HD
Business Systems Analyst & Developer
Handy Distribution
Lynchburg, VA
- $95,000 to $120,000 USD / year
…solutions. This position partners with stakeholders across Operations, Supply Chain, Warehouse, Production, Finance, Sales, and other functional areas to understand business processes,…
Added 13 mins ago
Supply Chain Capacity Engineer
Meta
Frankfort, KY
Partner across Infra - platform teams, server hardware engineering, network engineering, data center engineering, operations, capacity planning, networking planning, data center planning,…
Added 13 mins ago
C
AI-Augmented Data Analyst
Cognizant
Frankfort, KY
- $115,000 to $135,000 USD / year
Build and maintain analytical datasets, data marts, and reporting assets that support business intelligence and advanced analytics initiatives.
Added 13 mins ago
Associate, Finance Operations
New York Life
New York
The Associate, Finance Operations supports the financial operations and administration of New York Life Agents Reinsurance Company (NYLARC) and its parent company, NYLARC Holding Company,…
Added 15 mins ago
VA
Statistician (Data Scientist)
Veterans Affairs, Inspector General
Nashville, TN · Kansas City, MO · Seattle, WA · Denver, CO · Chicago, IL
- $76,463 to $99,404 USD / year
The Statistician (Data Scientist), located in the Department of Veterans Affairs (VA), Office of Inspector General (OIG), Office of Data and Analytics, provides advanced data analytics,…
Added 15 mins ago
VA
Statistician (Data Scientist)
Veterans Affairs, Inspector General
Nashville, TN · Kansas City, MO · Denver, CO · Chicago, IL · Seattle, WA
- $76,463 to $99,404 USD / year
The Statistician (Data Scientist), located in the Department of Veterans Affairs (VA), Office of Inspector General (OIG), Office of Data and Analytics, provides advanced data analytics,…
Added 17 mins ago
Supply Chain Performance Analyst
Alarm.com
Tysons, VA
…Alarm.com is looking for somebody to contribute to the day-to-day operations of our growing…

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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