Remote jobs in the United States

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Added 3 hours ago
Principal Consultant - Databricks
OZ Digital LLC
Remote, United States
Strong command of Apache Spark, PySpark, Python, SQL, Delta Lake, batch and streaming patterns, ETL/ELT, data modeling, data quality, performance tuning, and production troubleshooting.
Added 7 hours ago
Senior Data Engineer, Network Platform
Cisco Systems, Inc.
Remote, United States
Experience with distributed processing and orchestration (e.g., Spark and Airflow/Glue or equivalent) plus engineering practices across CI/CD, access controls, data quality, observability,…
Added 1 day ago
Senior Data Engineer
Nextech
Remote, United States
Advanced proficiency with Python and PySpark or Apache Spark in production data engineering environments.
Added 1 day ago
Data BI Senior Analyst
Astrana Health, Inc.
Remote, United States
Advanced expertise in Power BI (DAX, Power Query, data modeling, semantic models, and performance tuning), SQL development, and Databricks/Spark environments.
Added 1 day ago
Senior Machine Learning Engineer
Coinbase
Remote, United States
…proficiency in modern ML and data stacks (such as PyTorch, GBDTs, Spark/Databricks, Ray, Kafka, and/or…
Added 1 day ago
GL
Engineer II - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $131,175 to $218,625 USD / year
Added 1 day ago
Senior Software Engineer
Acxiom LLC
Remote, United States
We are looking for an experienced Java based Spark focused Software Engineer to join Acxiom’s data and identity delivery platform group. You will be joining a team responsible for…
Added 1 day ago
Senior Machine Learning Engineer
Atlassian
Remote, United States
…performantproduction-quality code, familiarity with SQL, knowledge of Spark andcloud data environments (e.g. AWS, Databricks)Experience building and scaling machine learning models in…
Added 2 days ago
Staff Software Engineer, Chainguard Harness
Chainguard
Remote, United States
Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital.
Added 2 days ago
Staff Forward Deployed Engineer
Databricks
Remote, United States
Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
Added 2 days ago
Sr. Forward Deployed Engineer - Public Sector
Databricks
Remote, United States
Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
Added 2 days ago
Sr. Solutions Engineer - AI Natives Business
Databricks
Remote, United States
Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
Added 2 days ago
Sr. Solutions Architect - AI Natives Business
Databricks
Remote, United States
Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
Added 3 days ago
J
Senior Data Engineer
Jobgether
Remote, United States
- $130,000 to $200,000 USD / year
…technology environment, you will leverage tools such as Kafka, Spark Structured Streaming, Apache Iceberg, and Amazon S3 to manage large-scale data flows. You will play a key role in…
Added 3 days ago
RU
Data Engineer V - US
Rackspace US, Inc.
Remote, United States
- From $165,830 USD / year
Sets the team's approach to batch/streaming architecture (Spark, Airflow, Databricks/Snowflake) and CI/CD practices.
Added 3 days ago
J
Director, Data Engineering
Remote, United States
- $165,000 to $175,000 USD / year
Experience with Informatica IDMC, Databricks, Snowflake, Spark, Airflow, dbt, Azure Data Factory, AWS Glue, Power BI, and related technologies.
Added 3 days ago
Machine Learning Engineer
Pattern AI
Remote, United States
Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)
Added 3 days ago
Azure Data Engineer
MTC Talent
Remote, United States
The Azure Data Engineer works with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform.…
Added 3 days ago
Cloud Migration - MUST Be US Citizen with US Secret Clearance!
MaKa Systems
Remote, United States
Ø Hadoop Developer: Big Data, Develop data ingestion solution using Hadoop-based technologies (Cloudera, Hortonworks, MapReduce, Hive, HDFS), NoSQL technologies (e.g., MongoDB, Cassandra),…
Added 3 days ago
Microsoft Azure Cloud Engineer/Developer
Johnson Technology Systems Inc
Remote, United States
…and ETL processing, required expertise is over tools such as: Apache Hadoop, MapReduce, Pig, Spark, Databricks,…
Added 3 days ago
Databricks Architect
Data Piper
Remote, United States
·Deep experience with distributed computing with Spark with knowledge of Spark runtime internals
Added 3 days ago
ET
Junior Data Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $75,000 to $115,000 USD / year
…foundational understanding of Python, SQL, ETL processes, and Apache Spark, with a strong interest in building reliable, scalable data…
Added 3 days ago
ET
Data Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $125,000 USD / year
Exposure to tools such as Apache Airflow, Spark, or similar technologies.
Added 3 days ago
Director, Commercial Data Products
GlaxoSmithKline LLC
Remote, United States
Added 3 days ago
Azure Data Engineer- Lead
Spyglass
Remote, United States
· 3+ years of experience with data integration platforms such as Azure Data Factory, Synapse Pipelines, SSIS, Databricks, Spark, Hadoop, or comparable tools.

Director, Data Engineering

Remote, United States

$165,000 to $175,000 USD / year

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Job details

Pay: $165,000 to $175,000 USD / year
Experience: 12+ years of progressive experience in data engineering, architecture, analytics engineering, or enterprise data platform leadership.
Posting language: English
Posted: Oct 8, 2026

Original job description

About the Role We are seeking an experienced Director of Data Engineering to lead our enterprise data engineering strategy, platform modernization, and operational excellence initiatives. This role will drive the design, governance, reliability, and scalability of our data ecosystem while enabling analytics, AI, and business intelligence capabilities across the organization. The Director will partner with technology and business leaders to deliver secure, trusted, and business-ready data solutions that support organizational growth and innovation.

Define and execute the enterprise data engineering strategy, roadmap, and operating model.
Lead and develop high-performing teams of managers, architects, and data engineers.
Oversee the design, implementation, and optimization of enterprise data platforms, including data warehouses, lakes, lakehouses, and analytical data products.
Establish standards for data architecture, integration, governance, quality, security, observability, and DataOps.
Drive modernization initiatives that improve scalability, reduce technical debt, and enhance operational efficiency.
Enable AI, machine learning, advanced analytics, and self-service reporting through trusted data foundations.
Partner with executive leaders and cross-functional stakeholders to align data initiatives with business objectives.
Manage technology investments, vendor relationships, budgets, and resource planning.

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field, or equivalent experience.
12+ years of progressive experience in data engineering, architecture, analytics engineering, or enterprise data platform leadership.
7+ years leading technical teams in complex enterprise environments.
Experience developing enterprise data strategies, governance programs, and modernization roadmaps.
Strong expertise with cloud data platforms, ETL/ELT frameworks, data warehousing, data integration, and production operations.
Advanced SQL skills and experience with relational and analytical databases.
Experience with AWS, Azure, Google Cloud, or hybrid cloud environments.
Experience with Informatica or similar enterprise integration platforms.

Preferred Qualifications

Master's degree in a related discipline.
Experience with Informatica IDMC, Databricks, Snowflake, Spark, Airflow, dbt, Azure Data Factory, AWS Glue, Power BI, and related technologies.
Experience supporting AI, machine learning, or advanced analytics initiatives.
Experience leading large-scale data modernization programs in regulated or data-driven industries.

Technical Skills

Enterprise data integration and data management platforms
Cloud-based data architecture and engineering
Data warehousing, lakehouse, and analytical platforms
DataOps, observability, and operational excellence
Data governance, metadata management, and lineage
Modern orchestration and transformation frameworks
Business intelligence and analytics technologies, including Power BI
Agile methodologies, CI/CD pipelines, and source control platforms such as GitHub and GitLab
Project collaboration tools including Jira and Confluence

What We Offer

Competitive salary and performance bonus program
Fully remote work environment
Comprehensive benefits package including 401k match
19 days of PTO per year; 10 holidays per year
Opportunity to work in a mission-driven organization where your work directly shapes clarity, confidence, and better outcomes across healthcare

Travel Up to 10% travel, based on business needs. While our roles are 100% remote, we do get together a few times a year for up to one week. Employees are given ample notice and attendance is expected. Work Environment This position operates primarily in a remote work environment and requires the ability to remain in a stationary position for extended periods while performing work at a desk or workstation. The employee must be able to operate standard office equipment, including a computer, keyboard, mouse, webcam, and telephone. The role also requires the ability to occasionally move throughout a workspace to access files, office equipment, and work-related materials. Effective communication, both written and verbal, is essential for interacting with employees, clients, and stakeholders. Equal Opportunity / Affirmative Action Statement Staritas is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or veteran status. As a federal contractor, Staritas complies with all applicable federal, state, and local laws regarding nondiscrimination and affirmative action. We are committed to creating a workplace that is fair, inclusive, and grounded in merit-based decision-making. Accommodation Statement If you need reasonable accommodation to apply for this position, please contact the recruiter. Pay Transparency Statement Staritas posts compensation ranges and benefits for all open roles. The base compensation range for this position is $165,000 - $175,000 annually, plus a comprehensive benefits package. Compensation offered will depend on factors including experience, skills, geographic location, and internal equity. Staritas does not retaliate against employees or applicants for discussing compensation. Benefits Statement Staritas offers a comprehensive and competitive benefits package designed to support the health, wellbeing, and financial security of our employees. Benefits include medical, dental, and vision coverage; retirement savings plans with company contributions; paid time off and company holidays; paid parental and family leave; and access to employee assistance and wellness resources. Additional benefits include life and disability insurance, professional development opportunities, and flexible work arrangements.

Learn more about us by visiting www.staritas.com.

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More about this job

Skills

Data engineering
Business intelligence
Machine learning
Reporting
Computer science
Leadership
Data warehousing
SQL
AWS
Microsoft Azure
Google Cloud
Informatica
Databricks
Snowflake
Apache Spark
Apache Airflow
dbt
Microsoft Azure Data Factory
Microsoft Power BI
Data management
Agile
CI/CD
GitHub
GitLab
Collaboration
Jira
Atlassian Confluence

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