Remote Data Jobs · Python

Job listings

  • Develop reproducible analyses and computational workflows in Python, R, and/or Bash to evaluate NGS assay performance.
  • Analyze DNA and RNA sequencing data from targeted assays, including SNVs, indels, CNVs, fusions, coverage, and artifacts.
  • Collaborate cross-functionally with molecular biology, software, and clinical teams to investigate assay behavior and improve design.

Pillar Biosciences develops next-generation sequencing assays for oncology and other human genomic applications. The company fosters a collaborative, cross-functional culture with a focus on innovation and team science.

  • Build end-to-end data products using Databricks, Delta Lake, SQL, Python, and PySpark.
  • Design and maintain batch, streaming, and near-real-time pipelines with Kafka and event-driven architectures.
  • Develop REST APIs, backend services, and lightweight applications while ensuring data governance and scalability.

This partner company focuses on data and technology solutions, hiring a Senior Data Engineer to build production-grade data products. The company's size and culture are not explicitly detailed, but the role emphasizes collaboration, remote work, and modern tech stacks.

$150,000–$165,000/yr
US Unlimited PTO 12w maternity 12w paternity

  • Build and maintain data ingestion and transformation pipelines using Dagster, dbt, and Snowflake through PR-driven development.
  • Manage production monitoring, backfills, and Airbyte connections to ensure reliable daily data flows.
  • Collaborate with analytics and product teams on dimensional modeling and data quality, and participate in code review and runbook writing.

PadSplit is at the forefront of solving the affordable housing crisis through its tech-driven platform. They have a growing remote-first team and offer a competitive benefits package including unlimited PTO and paid parental leave.

$150,000–$210,000/yr

  • Design, build, and maintain cybersecurity data pipelines using Cribl, managing data flows from source systems into SIEM and data lake platforms.
  • Develop and integrate connectors for security data ingestion, configure parsing, routing, and transformation, and support SIEM architecture and operations.
  • Troubleshoot complex pipeline issues, create documentation, and collaborate with cross-functional teams to ensure data accuracy, security, and performance.

Cribl is a cybersecurity and data engineering company that helps organizations manage and optimize security data pipelines for SIEM and data lake environments. As a growing company with a small team, they emphasize independent problem-solving, collaboration, and a culture that values technical excellence and clear communication.

  • Lead the development of analytical, statistical, and machine learning solutions for client use cases.
  • Translate business questions into structured analytical approaches, modeling strategies, and measurable outputs.
  • Apply AI methods including LLM workflows to support classification, pattern detection, and decision support.

Valtech is an experience innovation company that partners with leading brands to unlock new value in the digital world. With a global, borderless framework and a culture that fosters creativity, diversity, and autonomy, we empower our people to thrive and grow.

$466,000–$750,000/yr
Global 7w PTO

  • Design rigorous experiments to test hypotheses and validate ML solutions, from setup through statistical analysis.
  • Lead end-to-end ML development including research, model training, and integration into business applications.
  • Translate complex technical concepts for stakeholders and track advancements in ML to improve promotional writing.

Netflix connects global stories with audiences worldwide through a streaming service offering TV series, documentaries, feature films, and games. We are a large, innovative company with a unique culture that values inclusion, creativity, and cutting-edge technology.

  • Own the full analytical lifecycle from tracking requirements to presenting insights to leadership.
  • Analyze core gaming metrics like DAU, LTV, and ROAS, and design experiments to drive decisions.
  • Establish scalable standards for tracking, reporting, and data quality across the organization.

This role is posted on behalf of a partner company that manages applications and next steps. It is a high-impact analytics position within a fast-moving mobile gaming environment, offering autonomy and direct influence on product strategy.

Unlimited PTO

  • Own and optimize the ingestion layer that scrapes, processes, and lands transaction and listing data from auction houses and marketplaces.
  • Build monitoring and alerting for pipeline latency, uptime, and source coverage, ensuring a source going quiet pages you immediately.
  • Modernize storage and processing to cut costs and manual intervention, partnering with pricing, ML, product, and analytics teams.

Alt is unlocking the value of alternative assets, starting with the $5 billion trading card market, by letting collectors buy, sell, vault, and finance their cards in one place. Backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes, we are a remote-first startup with a focus on real-time pricing at scale.

$140,375–$185,604/yr

  • Design advanced analytics and predictive models within Databricks using Python, SQL, and Spark to identify revenue leakage and recovery opportunities.
  • Develop interactive Databricks dashboards and visualizations for operational and executive visibility into revenue-cycle performance.
  • Build detection logic for missing charges, coding errors, denied claims, underpayments, and aged receivables, and create recoverability scoring models.

LMI is a digital solutions provider accelerating government impact with innovation and speed, serving defense, space, healthcare, and energy sectors. Headquartered in Tysons, Virginia, the company delivers commercial-grade platforms and mission-ready AI to federal agencies.

  • Perform data quality validations to ensure accuracy, completeness, and integrity of data processing within GCP environments.
  • Write medium to complex SQL queries to perform data validation and verify expected results.
  • Test and validate ETL processes and data transformations throughout the data lifecycle.

Applaudo is an AI-native organization that designs, builds, and scales meaningful, AI-powered solutions to create real business impact. They have a high-performance culture grounded in values like Empowering Excellence and Collaborative Teamwork.