Senior Software Engineer, Data Engineering

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

$179K-$224K From the posting source

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

73% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

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

Role

Role function

Engineering From the posting source

Seniority

Senior From the posting source

Work mode

Remote From the posting source

In-office days

0 days From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Software Engineer, Data Engineering Remote, USA Omada Health is on a mission to bend the curve of chronic disease. Job overview: We are dedicated to leveraging data to drive strategic decision-making and operational efficiency. Our team is passionate about harnessing the power of data to solve complex problems and deliver impactful insights. We are seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data architectures and engineering data models and pipelines. This role will play a critical part in ensuring the integrity, scalability, and performance of our data processing and products. Key Responsibilities: - Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization. - Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements. - Pipeline Engineering: Design, build, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure smooth and efficient data flow from various sources. - Data Integration: Integrate diverse data sources, including APIs, databases, and third-party data, into a unified data platform. - Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput. - Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data. - Collaboration: Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver

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