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5mo ago

Data Engineer, Analytics & Machine Learning Enablement

Keeper Security Remote 🌍 Remote

Remote

5mo ago Closed

Full time Analytics AWS Bigquery

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

Job Description

Keeper Security is seeking a Data Engineer focused on building analytics data pipelines and ML-ready workflows. This remote role offers flexibility, with an optional hybrid schedule for candidates in California or Illinois. The position emphasizes collaboration with analysts and ML engineers to enable reliable analytics and modeling capabilities across the organization.

Responsibilities

Design and maintain ELT pipelines to ingest and transform data from core operational systems
Create analytics-ready data models to support reporting, KPIs, and downstream ML use cases
Collaborate with analysts and ML engineers to ensure data structures meet modeling and feature needs
Implement data quality checks, validation, and testing to ensure accuracy and reliability
Optimize data pipeline performance, scalability, and cost efficiency
Support data preparation and feature engineering workflows for machine learning initiatives
Document data models, transformations, and lineage to promote reuse and data literacy
Partner with security and platform teams to ensure data governance and privacy requirements are met

Requirements

3–5 years of experience in data engineering or backend data systems, SaaS experience preferred
Strong proficiency in SQL and experience designing analytics data models
Working knowledge of Python for data processing or pipeline orchestration
Experience with cloud data warehouses such as Amazon Redshift; Snowflake or BigQuery acceptable
Familiarity with AWS data services such as S3, Glue, Lambda, or Step Functions
Understanding of ELT best practices, data modeling, and schema design
Exposure to supporting machine learning workflows through data preparation or feature engineering
Knowledge of data security and privacy principles, including handling regulated data (PII, PHI)
Strong software engineering fundamentals, including version control, testing, and CI/CD practices
Bachelor's degree in Computer Science, Engineering, Statistics, or a related field
Due to FedRAMP requirements, candidates must be a U.S. Person

Technologies

Python
SQL
Amazon Redshift
Snowflake
BigQuery
S3
Glue
Lambda
Step Functions
dbt

Benefits

Medical, Dental & Vision (Inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
Voluntary Short/Long Term Disability Insurance
401k (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
Above market annual bonuses

Keeper Candidate Privacy Notice

Keeper collects and uses data throughout the recruitment process to assess your qualifications and manage interviews. Data may be provided by you, generated during the process, or obtained from others.

Data We Collect: Contact details, CV/resume, cover letter; employment history, qualifications, work eligibility; application responses and uploaded documents
Data We Generate: Interview notes, assessments, communications; scheduling information
Information From Others: Referrals, public professional profiles, background verification (post offer)
Voluntary Diversity Information: Optional data on race/ethnicity, gender, disability status, veteran status to comply with EEOC requirements
How We Use Your Data: Assess suitability; manage interviews; consider for other roles; comply with employment laws
Legal Basis: Legitimate interests; contractual steps; legal/regulatory compliance
Sharing: Internal teams and third-party service providers; diversity data is not shared with hiring managers
Third Party Safeguards: Contracts to protect data with appropriate safeguards
International Transfers: Data may be accessed globally with safeguards in place
Security: Technical and organizational measures to protect data
Retention: Data kept for 24 months from last activity, with exceptions for consent or hire
Your Rights: Access, correction, deletion, objection, data portability, complaint
Automated Decisions: No hiring decisions are made solely by automated processing
Contact: privacy@keepersecurity.com

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5mo ago

Data Engineer/Power BI specialist (USW FO) - TS/SCI required

Logistics Management Institute Alexandria, VA

Alexandria, VA

5mo ago Closed

$101k - $175k/yr Full time Bi Data Data Engineer

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

Job Description

Overview

LMI seeks a Data Analyst with substantial Power BI skills to support USD A&S. This role translates leadership intent into actionable data insights, analytical deliverables, and decision-support dashboards. The ideal candidate is a trusted advisor who can anticipate information needs, synthesize complex datasets, and build intuitive tools that enable senior leadership to act on data.

Responsibilities

Consolidate and examine data from multiple DoD systems and enterprise platforms to generate insights informing acquisition and sustainment decisions.
Apply advanced analytics, statistical modeling, and automation to derive meaningful conclusions from large datasets.
Design, develop, and maintain interactive dashboards and reporting solutions using Power BI, Power Automate, SharePoint, and other DoD authorized systems.
Ensure dashboards are intuitive, accurate, and aligned with executive-level decision-making needs.
Implement data-driven workflows and automated pipelines to support rapid analysis and reduce manual reporting burdens.
Utilize technologies like Python and SQL to enable scalable and repeatable analytics solutions.
Use analytics and visualization tools to monitor and manage Acquisition and Sustainment contract data.
Provide real-time situational awareness to leadership through accurate and responsive reporting mechanisms.
Partner with front office, IT, and analytic teams to ensure data integrity, alignment with mission goals, and compliance with federal data standards.
Serve as a trusted technical advisor to senior leadership, independently identifying opportunities for analytic improvements.

Requirements

Active DoD Secret (or higher) security clearance.
Bachelor’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field.
Demonstrated experience in data analysis, engineering, and dashboarding within the DoD or federal sector.
3-5+ years of relevant experience.
Power BI, Power Automate, SharePoint, and Jira.
SQL (PostgreSQL, Oracle), Python (pandas, NumPy, TensorFlow).
Strong analytical, problem-solving, and communication skills, with the ability to translate complex discussions into actionable data products.
Proven ability to work independently in a high-visibility, fast-paced environment with senior government leaders.

Technologies

Power BI
Power Automate
SharePoint
Jira
SQL
PostgreSQL
Oracle
Python
pandas
NumPy
TensorFlow

Target Salary Range

USD 101,144 - 174,591 per year

Disclaimer

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

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5mo ago

Senior Clinical Data & Analytics Engineer

Yale University New Haven, CT

New Haven, CT

5mo 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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5mo ago

Senior Data Engineer - Cloud & Analytics, Officer

State Street Boston, MA

Boston, MA

5mo 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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5mo ago

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

SpaceX Redmond, WA

Redmond, WA

5mo 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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5mo ago

Data Analytics Engineer (AI/ML Focus)

Tata Consultancy Services Sunnyvale, CA

Sunnyvale, CA

5mo 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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5mo ago

Data Engineer II, Analytics Engineering

The Travelers Companies, Inc. Hartford, CT

Hartford, CT

5mo 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.