Source Job

• Lead and coach a team of data engineers and applied data scientists while fostering team health and high performance.
• Partner with cross-functional leaders to translate business needs into technical requirements and prioritize initiatives.
• Drive the architecture and delivery of scalable data pipelines, ML models, and algorithmic systems for internal and member-facing experiences.

AllTrails is the app for exploring the outdoors, connecting people to their next adventure. It is home to the world's largest outdoor community, with a team that values positivity, innovation, humility, adaptability, inclusivity, and stewardship.

• Design and implement ETL pipelines using Apache Airflow, BigQuery, Python, and Spark to transform upstream data into curated data assets.
• Provide technical leadership and best practices, mentoring other engineers and driving architecture decisions for high-performance systems.
• Collaborate cross-functionally with Product Managers and end users to define key business questions and build relevant data sets.

InMarket is a leader in 360-degree consumer intelligence and real-time activation for top brands, offering a data-driven marketing platform. The company has a strong focus on technology and culture, with a commitment to diversity, equity, and inclusion, and offers competitive compensation and benefits.

• Lead the Data Engineering team to design, build, and operate scalable data pipelines powering analytics and AI.
• Partner with cross-functional leaders to define technical strategy, roadmap, and execution for the enterprise data platform.
• Drive engineering excellence through improved data quality, reliability, observability, and governance.

Omada Health is reverse engineering healthcare delivery in America, focusing on chronic conditions like obesity, diabetes, and hypertension. With over two million members served and a strong remote-first culture, the company has been certified as a Great Place to Work.

• Build and enhance data solutions and AI initiatives for insurance using GCP and BigQuery.
• Code BigQuery procedures and implement scalable data models within the data lake.
• Collaborate with cross-functional teams to deliver solutions aligned with business objectives and data governance guidelines.

Applied builds cloud software and AI-powered solutions for insurance agencies and brokers worldwide. With over 40 years of industry experience, the company fosters a people-first culture built on trust, inclusion, and growth.

• Lead team of engineers driving data engineering standards and initiatives across Applied's platforms.
• Drive high-visibility, cross-functional initiatives in close collaboration with Product, Architecture, and Engineering teams.
• Build and standardize data engineering best practices as part of a newly formed team.

We transform the insurance industry with innovative software and services. With 40+ years of experience in insurtech, we have a culture that values diversity and inclusion.

• Lead the development of the data platform supporting clinical operations, payer reporting, and analytics.
• Build and orchestrate ingestion pipelines using Mage, Python, and GCP infrastructure as code.
• Ensure security and compliance with PHI, HIPAA, and SOC 2 while collaborating cross-functionally.

Protera Health is a musculoskeletal (MSK) specialty care company that partners with health plans, health systems, and employers to deliver coordinated, measurable MSK care. It is a growing multidisciplinary clinical organization with a technology platform, offering a fully remote, mission-driven culture.

• Design and build scalable data pipelines (batch & streaming) on GCP.
• Develop and manage API-driven integrations (REST, JSON, event-based).
• Work with healthcare data standards such as FHIR, HL7, and EDI.

Egen is a data-first consulting firm specializing in Google Cloud and Salesforce, helping clients drive action through data and insights. The company is fast-growing and entrepreneurial, with a culture focused on learning, problem-solving, and innovation.

• Lead the strategy, architecture, and execution of a scalable data ecosystem for business intelligence and AI.
• Manage and grow a team of data platform engineers, fostering a culture of technical excellence.
• Partner with product and analytics teams to deliver data-driven customer experiences and insights.

Jobgether is a platform that uses AI-powered matching to connect job seekers with hiring companies. They operate a remote-first environment and focus on providing a streamlined application process.

• Define and execute the long-term data strategy and architecture, ensuring scalable, reliable, and trusted data foundations.
• Design, build, maintain, and optimize high-impact data pipelines connecting business systems, internal platforms, and data warehouses.
• Lead a multidisciplinary Data organization spanning Data Engineering, Machine Learning Engineering, and Analytics, driving team growth and technical excellence.

This company is a fast-growing technology organization that leverages data and AI to drive innovation. It fosters a collaborative environment with a strong emphasis on growth, ownership, and technical excellence.

• Design, build, and maintain scalable data pipelines for ingestion and transformation.
• Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
• Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.

Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.

• Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
• Implement Medallion Architecture patterns and maintain governed views in BigQuery.
• Balance new solution development with production incident resolution and support.

Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.

• Lead a team building data platforms and ML operations infrastructure.
• Own reliability, scalability, and continuous improvement of analytics systems.
• Collaborate with data scientists and leaders to deliver impactful ML solutions.

The company builds advanced data and machine learning platforms that power analytics and intelligent products. Its culture emphasizes innovation, reliability, and inclusivity, supporting professional growth and technical excellence.

• Lead, coach, and develop a global team of data engineers while guiding technical architecture and delivery.
• Build and scale large-scale data pipelines, production datasets, and QA systems using Databricks, Airflow, SQL, and PySpark.
• Partner with product and research teams to transform complex data into reliable, production-grade assets for customers and internal applications.

YipitData is a leading market research and analytics firm that analyzes billions of alternative data points to provide actionable insights for the disruptive economy. The company recently raised $475M, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.

• Drive the strategic direction of the Data & Analytics organization, developing and scaling internal capabilities in data engineering, analytics, and governance.
• Partner with senior leadership to translate vision into staffing plans, delivery roadmaps, and quarterly priorities.
• Build and manage a high-performing team, establish data governance standards, and drive adoption of AI-assisted tooling to accelerate delivery.

RPM Living is a property management company that focuses on delivering exceptional customer experiences through technology innovation. They have a large, growing team and value data-driven decision-making, offering comprehensive benefits and professional development opportunities.

• Translate business goals into concrete data solutions.
• Collaborate with peers, manage multiple priorities, and communicate project status.
• Apply best practices in data pipelines, schemas, and system design.

DEPT is a growth invention company helping ambitious brands grow at the intersection of technology and marketing. With over 4,000 specialists, it values collaboration, curiosity, and getting things done.

• Lead the Data & Observability Platform team to build scalable data capabilities and improve engineering velocity.
• Partner with Data & Analytics, SRE, and Cloud Platform Engineering to deliver reliable platform foundations and observability.
• Drive modernization of legacy data platforms into cloud-native patterns on GCP, Databricks, and dbt.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and multiple Top Employer awards, we foster an innovative and collaborative culture.

• Own data pipelines end to end - ingestion, transformation, warehousing, and delivery into BI.
• Build and maintain dbt models with tests, documentation, and clear contracts.
• Own product analytics: instrumentation, event tracking, usage models, and metrics for GTM and product teams.

Cortex is the Engineering Operations Platform providing visibility, governance, and golden paths for engineering organizations. We are a team of 80 passionate individuals excited about building a product that developers love.

• Lead a team of engineers, owning both delivery and development with a focus on continuous improvement and fast iterations.
• Write and review code, drive architectural decisions, and uphold engineering standards while working AI-augmented.
• Own the team's commitments, partner with product on roadmap, and hire thoughtfully to build a high-performing team.

DoiT is a global technology company that helps cloud-driven organizations leverage the cloud for business growth and innovation. With specializations in Kubernetes, GenAI, and CloudOps, they work alongside more than 4,000 customers worldwide as an award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure.

• Collaborate with product managers, data analysts, and ML engineers to develop pipelines and ETL tasks for insights.
• Establish data architecture processes that are scheduled, automated, and replicated as standards.
• Manage individual Data Engineers to foster learning, growth, and success.

Doximity is the leading digital platform for U.S. medical professionals, with over 85% of physicians as members. We are a distributed team of doers passionate about improving healthcare.

• Deliver high-quality data sets by curating, consolidating, and manipulating large-scale data sources.
• Build high-quality data pipelines and ETL processes on platforms like Snowflake and BigQuery.
• Partner with analytics, data science, and machine learning teams to provide data solutions.

Tripadvisor connects people to experiences worth sharing, aiming to be the world's most trusted source for travel. With over 500 million reviews and 390 million monthly visitors, the company is data-driven and offers a unique, global work environment that captures the speed and innovation of a startup.