Data Analytics & Engineering Software Engineer II

United States Digital Space LLC; United States; Remote; USD 124,000 - 255,000; Full time

Benefits offered by this job

Equity

Job summary

United States Digital Space LLC is seeking a Software Engineer II, Data Analytics and Engineering to strengthen data foundations and analytics tooling across product teams in the US.

You will build scalable data pipelines, instrument analytics, and enable trusted datasets with self-service access. You will use AI to accelerate analysis while ensuring quality and governance. This role collaborates with Product, Engineering, Data Science, and BI to inform product improvements.

Qualifications

• Minimum of 2 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment.
• Proficient in SQL and Python, R, or equivalent to work with large, high-dimensional datasets.
• Experience building and operating data workflows, including ETL/ELT pipelines and DAG dependencies.
• Ability to translate open-ended partner needs into clear technical objectives and collaborate across Product, Engineering, Data Science, Data Engineering and BI teams.
• Proven ability to use AI to accelerate analysis and iteration with careful verification.
• Strong data governance, validation, and quality assurance practices.
• Bachelor's degree or equivalent experience in CS, stats, math, or related field.

Responsibilities

• Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work.
• Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics.
• Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights and metric definitions.
• Identify data quality and discoverability gaps, advocate for targeted improvements and contribute to reliable, well-governed data practices.
• Maintain clear documentation for tools, datasets, metrics and operating practices to make team data assets easier to use.
• Partner with Product, Engineering, Data Science, Data Engineering and Business Intelligence teams to communicate actionable insights and inform product improvements.
• Use AI to accelerate analysis, prototyping and iteration, while applying judgment and verification to ensure correctness, quality and responsible use.

Skills

Analytics engineering

SQL

Python/R

Data workflows/ETL

AI-assisted analytics

Data validation/testing

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Statistics, Mathematics or related field

Tools

Airflow

Job description

United States Digital Space LLC is seeking a Software Engineer II, Data Analytics and Engineering to strengthen data foundations and analytics tooling across product teams in the US.

You will build scalable data pipelines, instrument analytics, and enable trusted datasets with self-service access. You will use AI to accelerate analysis while ensuring quality and governance. This role collaborates with Product, Engineering, Data Science, and BI to inform product improvements.