Sr. Data Engineer I

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$116K-$170K From the posting source checked Jun 20, 2026

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

28% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. Data Engineer I United States of America - Remote / Home Office Job Description We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem, including our data lake, data warehouse, and machine-learning enablement platforms. This role will contribute to the company's data-driven culture, bring innovative approaches to cloud-native engineering, and help advance our MLOps capabilities to support production-grade AI/ML initiatives. You will collaborate closely with data scientists, analytics engineers, and cross-functional partners to deliver reliable, high-quality data and operationalized machine-learning solutions. Responsibilities - Designs and builds scalable data extracts, integrations, transformations, and data models. - Ensures successful deployment and provisioning of data solutions across required environments. - Designs and implements data architectures and applications that enable speed, quality, and operational efficiency. - Interacts with cross-functional stakeholders to gather and define requirements and translate them into technical designs. - Develops deep familiarity with enterprise datasets, builds domain knowledge, and advances data quality. - Reviews requirements, identifies gaps, and drives resolution with stakeholders. - Identifies and recommends continuous improvement opportunities, ensuring integrations are automated, governed, and observable. - Serves as a key team member in designing and deploying a ground-up cloud data platform and pipeline. - Partners with data scientists to design, build, and maintain reproducible machine-learning pipelines, including feature engineering, model training, validation, deployment, and monitoring. - Implements CI/CD for data and ML workflows (model packaging, automated testing, environment management, release automation). - Builds and maintains production-grade ML infrastructure such as feature stores,

Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.