United States

Data Jobs in United States

3,254 jobs found

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4mo ago

Senior Clinical Data & Analytics Engineer

Yale University New Haven, CT

New Haven, CT

4mo ago Closed

$92k - $147k/yr Full time Senior Analytics Architect

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Yale University in New Haven seeks a Senior Clinical Data & Analytics Engineer to drive SQL-based analytics, reporting, and business intelligence for Yale Medicine Clinical Practice, Finance, Revenue Cycle, and operations. The role emphasizes deep SQL expertise, proficiency with BI tools, and experience handling healthcare and financial data to deliver timely, actionable insights.

Location

New Haven, CT (hybrid)

Salary

USD 92,000 - 146,750 per year

Experience

Minimum 6 years

Education

Bachelor's degree

Responsibilities

Provides technical leadership in complex domains and guides major initiatives, developing large-scale programs and systems.
Leads the design and delivery of applications, programs, and systems; assesses departmental processes and needs; ensures stakeholder end-user requirements, timelines, and budgets are met.
Defines quality assurance and unit testing strategies to ensure high-quality solutions; leads collaborative planning, development, and implementation of business solutions; performs complex problem solving.
Offers technical guidance to leadership; leads recommendations, project definitions, and the development of technical designs and documentation, including architectural design, technology choices, and methodologies; creates and manages project plans.
Oversees ongoing maintenance and support for applications and systems; interfaces with vendors to resolve major software issues; makes final decisions on hardware and software purchases.
Drives the development of system documentation; develops formal design proposals and cost and time estimates for new systems.
Mentors technical staff and provides training for end users.
Recommends and establishes new policies and best practices.
Keeps current with existing and emerging technologies and methodologies; contributes to programming standards, procedures, and methodologies.
May perform additional duties as assigned.

Requirements

Strong SQL programming skills with a track record of writing complex queries; proficient in SQL Server, including database objects and stored procedures.
Experience with business intelligence tools, ideally Microsoft Power BI and Tableau.
SAP Business Objects experience is a plus.
Ability to independently build reports, identify data sources, design queries, and perform QA/testing.
Able to analyze complex datasets, translate business requirements into technical solutions, and deliver accurate, actionable insights.
Proficiency with Microsoft Excel and Microsoft Access, including developing and maintaining data-driven processes and workflows.

Technologies

SQL
SQL Server
Microsoft Power BI
Tableau
SAP Business Objects
Microsoft Excel
Microsoft Access
Epic Data Structures (Clarity)
Epic reporting tools

Posting date

04/22/2026

Job Type

Full time

Work Model

Hybrid

Education & Experience

Bachelor's degree required; minimum 6 years of relevant experience

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4mo ago

Senior Data Engineer - Cloud & Analytics, Officer

State Street Boston, MA

Boston, MA

4mo ago Closed

$70k - $119k/yr Full time Senior Analytics APIs

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Officer level Senior Data Engineer with a Cloud and Analytics focus based in Boston is responsible for designing and building modern cloud data pipelines that support analytics, reporting, and AI use cases for the Client Coverage Group and Chief Business Office within Sales and Business teams.

Location

Boston, MA onsite

Salary

USD 70,000 to 118,750 per year

Responsibilities

Design, develop, and support end-to-end data pipelines using AWS, Redshift, Databricks, and Snowflake to deliver secure, scalable cloud data platforms for analytics and reporting.
Implement and maintain enterprise system-to-system integrations via APIs, event-based patterns, and secure authentication mechanisms.
Build scalable data ingestion, transformation, and validation frameworks using Python, SQL, and shell scripting.
Develop and optimize data pipelines for performance, reliability, and data quality.
Collaborate with product owners, analytics teams, and downstream consumers to translate business requirements into technical solutions.
Support production stability, incident resolution, and root-cause analysis for data platforms.
Participate in architecture discussions, design reviews, and technical walkthroughs.
Adhere to Agile delivery practices including sprint planning, estimation, and issue tracking in Jira.
Ensure compliance with data security, governance, and SDLC standards.
Apply AI code generation tools such as Anthropic Code, Codex, and GitHub Copilot to accelerate development, improve quality, and boost productivity.
Contribute to structured and unstructured data workflows, leveraging AI technologies.
Continuously identify opportunities to improve efficiency, automation, and platform capability.
Exhibit strong analytical skills to translate business requirements into technical specifications.
Demonstrate hands-on experience with AWS storage products like S3 and Amazon Redshift.
Participate in major incident management and production stability efforts as required.
Communicate effectively, both verbally and in writing, with stakeholders across teams.
Leverage prior Agile project management experience to contribute to project success.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
6–10 years of overall IT experience with a strong focus on data engineering.
4+ years of hands-on experience building data pipelines on cloud platforms.
Proven track record as a senior data engineer or ETL expert tackling complex technical problems.
Excellent communication and leadership capabilities.
Proficiency in designing, developing, and supporting AWS based data pipelines and cloud architectures (S3, Redshift, EC2, IAM) using Apache Airflow, YAML, and shell scripting.
Solid AWS Cloud experience including S3, IAM, and cloud-based data architectures.
Strong Python skills for data engineering and automation.
Advanced SQL and Python proficiency for data analysis, validation, and performance tuning.
Experience writing and maintaining shell scripts for automation and operational support.
Experience working with unstructured data such as sales notes, 13F filings, news, and social media content.
Solid understanding of data warehousing, data lakes, and data quality concepts.
Ability to independently analyze requirements and deliver technical solutions.

Technologies

AWS, AWS Redshift, S3, EC2, IAM
Databricks, Snowflake
Python, SQL, Shell scripting
Apache Airflow, YAML
Git, Bitbucket, CI/CD, JIRA
GitHub Copilot, Codex, Anthropic Code
Salesforce

Benefits

401K retirement savings plan with company match
Insurance coverage including basic life, medical, dental, vision, long-term disability
Paid time off including vacation, sick leave, short term disability, and family care responsibilities
Employee Assistance Program
Incentive compensation with eligibility for annual performance-based awards
Eligibility for certain tax advantaged savings plans

About State Street

Across the globe, institutional investors rely on State Street to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and educated, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. Discover more information on jobs at StateStreet.com/careers

Job Application Disclosure

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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4mo ago

Sr. Data Engineer, Ground Network Engineering (Business Analytics)

SpaceX Redmond, WA

Redmond, WA

4mo ago Closed

$160k - $225k/yr Full time .NET Analytics Angular

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Sr. Data Engineer for Ground Network Engineering (Business Analytics) based in Redmond, WA (onsite) at SpaceX, defining infrastructure KPIs, analyzing data to extract insights, and forecasting costs to optimize spending for the Starlink Ground Network.

Responsibilities

Define and develop KPIs and metrics that quantify the cost of every asset within the Starlink Ground Network globally, including gateway sites, points of presence, data centers, construction, fiber, power, land, hardware, and more.
Perform deep-dive analyses of ground infrastructure data to identify trends and opportunities for cost improvements.
Regularly prepare reports and presentations that summarize findings, provide actionable insights, and track the effectiveness of implemented strategies.
Build and maintain forecasting engines to predict costs for the Starlink Ground Network.
Support cost analysis for the launch of future markets.
Refactor and scale data ingestion and delivery of cost systems to support geographic expansion.
Maintain and enhance the integrity and reliability of internal and external data sources; collaborate with engineering teams and external processors to capture additional data and ensure data accuracy and consistency.
Collaborate closely with software engineering and other cross functional teams.
Architect backend services, APIs, and workflows to integrate planning, forecasting, deployments, and cost management.

Requirements

Bachelor's degree in engineering, computer science, or a related field
5+ years of professional experience in reporting and analytics in network infrastructure
3+ years of experience with SQL

Technologies

SQL
C#
C++
Angular
Kubernetes
PowerBI
Grafana
Metabase
Celery
FastAPI
Django

Benefits

Health, vision, and dental insurance
401(k) retirement plan
Short and long-term disability insurance
Life insurance
Paid parental leave
Paid vacation and holidays
Employee stock purchase plan and stock options / long-term incentives
Company shuttles for commute
Various other discounts and perks

Compensation and Benefits

Pay range: $160,000.00 - $225,000.00 per year for Network Engineer/Senior level
The final level and base salary are determined on a case-by-case basis based on knowledge, education, and experience
Base salary is one part of a broader total rewards package, which may include long-term incentives such as company stock, stock options, or long-term cash awards, discretionary bonuses, and an Employee Stock Purchase Plan
Comprehensive medical, vision, and dental coverage; 401(k) plan; disability and life insurance; paid parental leave; and additional discounts and perks
Potential for 3 weeks of paid vacation and 10 or more paid holidays per year
Paid sick time in Washington State in compliance with state and federal law
Company shuttles provide roundtrip commute from select Seattle locations to the SpaceX Redmond office, Monday to Friday

ITAR Requirements

To conform to U.S. Government export regulations, the applicant must be a U.S. citizen or national, a lawful permanent resident (green card holder), a refugee under 8 U.S.C. § 1157, or an asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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4mo ago

Data Analytics Engineer (AI/ML Focus)

Tata Consultancy Services Sunnyvale, CA

Sunnyvale, CA

4mo ago Closed

$70k - $125k/yr Full time Analytics APIs Architect

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Tata Consultancy Services is seeking a Data Analytics Engineer with an AI/ML focus to join onsite in Sunnyvale, CA. The role centers on building scalable data pipelines, preparing AI-ready data, deploying ML models with MLOps, developing analytics dashboards, and enforcing data governance within cloud environments.

Responsibilities

Data Pipeline & Infrastructure Development: Build, maintain, and scale ETL or ELT pipelines using Apache Spark, Airflow, and Kafka to support AI and ML workloads.
AI Ready Data Preparation: Convert unstructured data such as text, images, and video into structured datasets suitable for model training, including feature engineering and vector database ingestion.
ML Model Productionization: Collaborate with data scientists to deploy models, create APIs for models, and implement MLOps practices with monitoring for data drift.
Analytics and Visualization: Develop dashboards using Tableau, Power BI, or Looker and execute SQL queries to deliver actionable business insights as an analytics engineer.
Data Governance & Quality: Ensure data quality, reliability, and security for AI systems, with adherence to regulations like GDPR or HIPAA and management of PII/PHI.
Cloud and Data Management: Operate within cloud environments such as AWS, Azure, and Google Cloud, leveraging services like S3, Redshift, Glue, and Databricks.

Requirements

Programming Languages: Expert Python and advanced SQL are mandatory; Java or Scala are preferred for large scale distributed systems.
ML Frameworks: Familiarity with PyTorch, TensorFlow, or Scikit-Learn for data manipulation and model interaction.
Data Engineering Tools: Experience with Apache Spark, Kafka, Airflow, dbt, and vector databases such as Pinecone or Milvus.
Cloud Platforms: Hands-on experience with AWS (Glue, SageMaker) or Google Cloud Platform.
Analytical Skills: Strong ability to perform exploratory data analysis and interpret complex datasets.
Soft Skills: Effective communication to bridge technical data engineering with business stakeholders.

Technologies

Apache Spark
Airflow
Kafka
Tableau
Power BI
Looker
Python
SQL
Java
Scala
PyTorch
TensorFlow
Scikit-learn
dbt
Pinecone
Milvus
AWS
SageMaker
S3
Redshift
Glue
Databricks
Google Cloud

Location

Sunnyvale, CA

Job Function

Technology

Role

Engineer

Job ID

406121

Desired Skills

Artificial Intelligence
Data Analytics
Kafka
Machine Learning
Python
SQL
Apache Spark

Salary Range

$70,000 to $125,000 per year

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4mo ago

Data Engineer II, Analytics Engineering

The Travelers Companies, Inc. Hartford, CT

Hartford, CT

4mo ago Closed

$127k - $209k/yr Full time Analytics Data Engineer Data Governance

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

The Travelers Companies, Inc. is seeking a Data Engineer II to join its Analytics Engineering team in Hartford. This role focuses on building and operationalizing complex data solutions that power AI, machine learning, and enterprise business intelligence, while turning insights discovered in data into practical data products across the organization.

Location

Hartford, CT (onsite)

Compensation

Salary: USD 126,500 - 208,700 per year

Summary of role

The Data Engineer II collaborates across teams to deliver reliable data products and analytic environments, translating data stories into actionable solutions and ensuring governance, security, and quality are embedded throughout data pipelines.

Responsibilities

Build and operationalize complex data solutions, address issues, apply transformations, and recommend data cleansing and quality approaches.
Design sophisticated data architectures and pipelines to support analytic processes.
Analyze diverse data sources to determine value and usage, and identify data to include in analytics workflows.
Incorporate core data management practices including data governance, data security, and data quality.
Collaborate within and across teams to support delivery and educate end users on data products and the analytic environment.
Perform data and systems analysis, assess and resolve complex defects and incidents, and implement appropriate corrections.
Test data movement, transformation code, and data components.
Perform other duties as assigned.

Requirements

Bachelor’s degree in computer science, a related STEM field, or an equivalent combination of education and work experience.
Eight years of related experience.
Strong proficiency in SQL and Python.
Proven ETL and data pipeline experience.
Hands-on experience with Databricks, particularly for ETL development.
Four additional years of data engineering experience.

Technologies

SQL
Python
Databricks
Snowflake
Salesforce
SQL Server
GCP
Azure

Benefits

Health Insurance
Retirement
Paid Time Off
Wellness Program
Volunteer Encouragement

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4mo ago

Data Scientist for Analytics (Engineer/Scientist Support)

CACI Norco, CA

Norco, CA

4mo ago Closed

$70k - $143k/yr Full time Analytics Data Data Analysis

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

This Data Scientist for Analytics role provides analytics support for defense systems, combining data analysis, scripting, reporting, and cross-functional collaboration in government-led assessments, onsite in Norco, CA.

Responsibilities

Data Analysis & Interpretation: assist in analyzing data from Defense and Integrated Combat Systems training, testing, and evaluation events to identify trends in system performance; collaborate with senior analysts to interpret system data; basic radar principles related knowledge is a plus but not required.
Scripting & Automation: help develop and maintain automated scripts using MATLAB or Python to streamline data extraction, cleaning, and transformation; training and mentorship will be provided.
Technical Reporting: draft technical inputs, summaries, and visual presentations to support government-led reports and briefings.
Communication & Presentation: convey analysis inputs to government analysts and government leads.
Collaboration: work effectively with multidisciplinary teams, sharing knowledge and coordinating with government and contractor team members as directed.
Process Improvement: support refinement and documentation of data analysis workflows, documentation, and reporting processes under government direction.
Continuous Learning: proactively expand understanding of Defense and Integrated Combat System, analytical tools, and related technologies.

Requirements

Bachelor’s degree in related field.
Must be able to obtain and maintain a DoD SECRET clearance.
Willingness and ability to travel occasionally.
Ability to maintain a flexible schedule during test events and surge periods.
Capable of working in stationary positions (sitting or standing) for extended periods.
U.S. Citizen.
Willing to work on site in Norco, California.
Working knowledge of MATLAB or Python; coursework or personal projects are great.
Experience or familiarity with tool verification and validation practices.
Strong analytical and critical thinking skills.
Familiarity with core data analysis techniques and visualization tools.
Quick to learn new systems, tools, and technical domains.
Excellent written and verbal communication skills.
Strong interpersonal skills and a team-oriented mindset.

Technologies

MATLAB
Python

Benefits

Healthcare
Wellness
Financial benefits
Retirement benefits
Family support
Continuing education
Time off benefits
Flexible time off

What you can expect

A culture of integrity
An environment of trust
A focus on continuous growth

Pay range: USD 69,600 - 142,700 per year

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4mo ago

Data Engineer II (Tech Lead) - AWS, Ab Initio, Databricks, Snowflake, Teradata

The Travelers Companies, Inc. Hartford, CT

Hartford, CT

4mo ago Closed

$127k - $209k/yr Full time Ab Initio AWS Cloud

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

The Travelers Companies, Inc. is seeking a Data Engineer II (Tech Lead) to design, build, and deploy data solutions that support AI/ML and business intelligence initiatives. This role leverages AWS, Ab Initio, Databricks, Snowflake, and Teradata to deliver scalable data platforms. This on-site position is based in Hartford, CT.

Responsibilities

Design, implement, and operationalize sophisticated data solutions; troubleshoot issues; apply transformations; and recommend data cleansing and quality improvements.
Develop intricate data architectures and pipelines.
Analyze complex data sources to assess value, determine applicability, and advise what data should be included in analytics workflows.
Embed core data management practices, emphasizing governance, security, and data quality.
Collaborate across teams to support delivery and educate end users about complex data products and analytical environments.
Conduct data and system analyses to assess, diagnose, and resolve complex defects and incidents.
Validate data movement, transformation scripts, and data components through testing.
Other duties as assigned.

Requirements

Bachelor's degree in a STEM field or equivalent.
Eight years of related experience.
Extensive experience with ETL tools such as Ab Initio and Databricks, proficiency with AWS cloud services, programming in Python and SQL, and a solid grasp of contemporary data engineering practices.
Ability to maintain a steady, predictable delivery pace, ship complete solutions in incremental releases, and identify and negotiate key tradeoffs.
Proven domain expertise with understanding of relevant technical concepts and industry trends, plus in-depth knowledge of current systems and familiarity with related systems.
Strong problem solver focused on building durable systems and devising innovative solutions to issues.
Excellent written and verbal communication, with ability to collaborate effectively with teammates and business partners.
Ability to lead team members, foster a supportive environment for learning and growth, and demonstrate self-motivation in identifying opportunities and tracking team progress.
Bachelor's degree in computer science or a related STEM field, or equivalent education and work experience.
An additional four years of data engineering experience.