Jobs in the United States

25+ jobs

Added 1 min ago
Sr. Solution Sales Executive - Data & Analytics - Insurance (FINS) - CHI
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 mins ago
Senior Business Intelligence Engineer
Humana
Des Moines, IA
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 3 mins ago
Senior DevSecOps Engineer
LEIDOS, INC.
Gaithersburg, MD
You don't need to be a Databricks or Syntasa expert on day one. We're looking for an adaptable, technically curious engineer with strong scripting skills, experience administering…
Added 9 mins ago
Senior Engineer Data Enablement & Management (Redshift/Databricks)
Stateside
Adelphi, MD
The Senior Engineer, Data Enablement & Management is responsible for leading the design, implementation, modernization, and operational reliability of UMGC's enterprise Lakehouse and Data &…
Added 16 mins ago
RD
Data Engineer, Operations Analytics
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Denver, CO · Seattle, WA
- $109,000 to $125,000 USD / year
The Data Engineer, Operations Analytics builds the data platform, pipelines, data standards, and quality controls that make the team’s data reliable. Working alongside the Data Scientist,…
Added 22 mins ago
Data Scientist-Vice President-Finance Data & Analytics
JPMC page
Columbus, OH
…business accesses data and derives insights. You’ll leverage Databricks and cloud technologies to enhance our data processing capabilities, empower end users to access data swiftly, and…
Added 27 mins ago
Lead AI Engineer
Bigbear.ai
UNAVAILABLE
BigBear.ai is looking for a Lead AI Engineer to drive the design, development, and deployment of generative AI and agentic systems for mission-critical Department of War (DoW) operations.…
Added 27 mins ago
Associate Data Engineer
Casey's
Ankeny, IA
We are looking for an Associate Data Engineer who is curious, collaborative, and motivated to grow as an engineer. You will pair with experienced team members to develop data pipelines and…
Added 33 mins ago
AO
Big Data Specialist (Multiple Positions) | ZR_925_JOB
Agilisium Onshore
Westlake Village, CA
- $175,698 USD / year
…years of experience in the position offered, as a Software Engineer, or a related position. Must have five (5) years of experience with all of the following: Developing and optimizing data…
Added 40 mins ago
Senior Engineer Data Enablement & Management, Databricks
Stateside
Adelphi, MD
The Senior Engineer, Data Enablement & Management is responsible for leading the design, implementation, modernization, and operational reliability of UMGC's enterprise Lakehouse and Data &…
Added 55 mins ago
ND
Senior Data Engineering Support Engineer - Databricks & PySpark
NTT Data Americas, Inc.
Addison, TX
- $55 to $62 USD / hour
Client is seeking a Senior Data Engineering Support Engineer with expert-level proficiency in Databricks and PySpark. In this role, you will be the primary technical anchor for our…
Added 55 mins ago
Senior AI/ML Engineer | Data Science
Kelly Services
Remote, United States
We are seeking a Senior AI/ML Engineer to join a growing AI and machine learning team focused on developing next-generation predictive analytics, intelligent automation, and generative AI…
Added 55 mins ago
Senior Data Engineer (Cloud, Databricks & Advanced Analytics)
Kelly Services
Remote, United States
We are seeking a Senior Data Engineer with a strong software engineering foundation and proven experience designing, building, and deploying modern data solutions. The ideal candidate will…
Added 57 mins ago
Data Engineer 5, Insights Platform
Capital One
Plano, TX
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Added 57 mins ago
IG
Sr Video Platform Backend Engineer
Insight Global
New York, NY
- From $74 USD / hour
Senior level ability and/or desire to lead small team as hands on engineer
Added 57 mins ago
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Sr. Data Engineer
ManpowerGroup
Dallas, TX
- $90 to $95 USD / hour
Our client is seeking a Sr. Data Engineer to join their team. As a Sr. Data Engineer, you will be part of the Data Engineering organization supporting cloud migration and production data…
Added 59 mins ago
Management Consultant - Data Engineer
IBM
Austin, TX · Houston, TX · Irving, TX · Dallas, TX
As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This…
Added 1 hour ago
Senior Software Engineer - Access Management
Databricks
Bellevue, WA · San Francisco, CA
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of…
Added 1 hour ago
Security Engineer
Ovative Group, LLC
United States
Ovative Group is seeking a Security Engineer to join our growing Information Security team. Reporting to the Lead Security & Cloud Engineer, this role owns the day-to-day execution of…
Added 1 hour ago
Data Engineer 4 (Manager, IC)-EDT
Capital One
McLean, VA · Richmond, VA
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Added 1 hour ago
Sr. Data Engineer
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United States
As the Sr. Data Engineer, you’ll have the chance to design, build, and optimize the data pipelines and models of the Enterprise Data Customer Experience (EDCX) team, the data foundation…
Added 1 hour ago
Staff Data Engineer
Exact Sciences Corp
United States
The Staff Data Engineer is a senior, hands-on technical contributor within an Enterprise Data domain, owning technical design and the most complex implementation work for assigned data…
Added 1 hour ago
Specialist, Data Engineer - Snowflake and Python
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
The Data Engineer will design, build, and support scalable data pipelines and data products that enable analytics, reporting, operational insights, and AI-driven solutions across Nationwide…
Added 1 hour ago
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Lead AI/ML Engineer - OptumHealth- Eden Prairie
UnitedHealth Group
Eden Prairie, MN
- $145,500 to $249,500 USD / year
As a Lead AI/ML Engineer, you will establish foundational capabilities such as language translation, accent harmonization, and real-time transcription. These advanced capabilities will…
Added 1 hour ago
Data Platform Engineer
Altamira Technology Corporation
Tampa, FL
Position Description: As a Data Engineer in this role, you will collaborate closely with various combatant commands, offering technical guidance for navigating the WDP environment. Your…

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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