Analyze large, complex datasets to generate actionable business insights.
Develop and optimize advanced SQL queries, joins, and data transformations.
Create dashboards and reports using data visualization tools like Tableau, Power BI, or Looker.
Coforge is a company that provides business solutions. They aim to hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Lead a team of data engineers, own the technical roadmap for our cloud data stack (Snowflake, Azure, dbt), and partner closely with stakeholders.
Establish and enforce organization-wide ETL/ELT best practices, naming conventions, and code review standards.
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, they offer strategic advantages to their clients by offering legal support services at every stage of their legal proceedings.
Build, define, and activate Appfire’s company-wide data asset (Snowflake) from ground up data sources.
Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake.
Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact.
Appfire empowers teams to break silos and collaborate seamlessly with its software. They are a remote-first company with 850+ employees (called "fireflies") across 28 countries, fostering a culture of respect and growth.
Build, maintain, and operate data pipelines and curated data products across Snowflake, Airflow (MWAA), AWS, Python, and SQL.
Implement observability and data quality controls and build monitoring for freshness, volume, schema, distribution, and lineage.
Define and enforce data platform standards, establish orchestration patterns, DAG anti-patterns, deployment practices, observability standards, data quality patterns, and operational runbooks used across the organization.
Build and maintain reliable data pipelines and datasets that enable critical product models for demand forecasting and analytics.
Evolve the data platform by assessing current architecture and driving pragmatic improvements in tooling and operating practices.
Implement testing, lineage definitions, and guardrails to ensure data quality and trust for stakeholders across delivery, billing, and reporting.
Enode provides the software infrastructure layer that connects and orchestrates grid-scale renewable energy devices like EVs, heat pumps, and batteries for energy companies, utilities, and traders. It's an early-stage, mission-driven climate tech startup backed by notable investors, operating with a high-drive, human-first culture.
Work closely with cross-functional teams to organize, prioritize, and execute an analytical roadmap for quick and scalable support.
Develop, build, and maintain reports and dashboards with actionable metrics to monitor growth, engagement, and clinical outcomes.
Build analyses to uncover metrics demonstrating Cadence's value and explore patient data to discover insights benefiting clinical care and product strategy.
Cadence is building a remote care delivery system focused on keeping older people healthy at home through daily health reviews by a dedicated clinical team. The company is a fast-growing, high-bar healthtech firm with a data-driven culture that emphasizes speed, precision, and ownership among its team.
Build and Maintain Bronze/Silver Layer Pipelines: You will ensure core data sources lands accurately, on time, and with full lineage.
Lead Data Ingestion, Transformation, and Enrichment: You will own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution.
Develop Automated Ingestion Pipelines: You will use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind.
Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. This is a foundational initiative, not a maintenance role.
Model and document new datasets (both structured and semi-structured) to exploit the value across all our business units.
Partner with subject matter experts to document, align and automate business metrics that define success
Work with Analysts to optimize their use of data, either through query reviews, modeling exercises, or dashboard audits
Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. They infuse agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. World leading enterprise organizations use Outreach to power their revenue teams.
Design, build, and own scalable data pipelines and systems that power analytics, machine learning, and business operations.
Drive system design for data architecture, owning data models and storage solutions to create scalable foundations for the team.
Collaborate with engineering, product, and data teams to translate business needs into technical solutions, ensuring data quality and performance standards.
Goodway Group is a remote-first, data-driven, and technology-enabled digital media and marketing services firm with a 90+ year history, offering the security of an established company with a start-up feel. It is a diverse team of strategists, practitioners, technologists, and data scientists that is recognized as a top workplace and a certified partner to The Trade Desk.
Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products.
Partner with ML engineers and data scientists to build and maintain AI-specific data infrastructure.
Consolidate fragmented data sources across the organization into reliable, automated pipelines.
Power Digital is a tech-enabled growth firm at the intersection of marketing, consulting, and data intelligence. They ignite revenue and brand recognition for leading and emerging companies. They are a people-first firm with a focus on diversity and have a dynamic team of consultative marketers, creatives, analysts and technologists.
Perform ongoing synthesis and analysis of health care quality metric performance and other key performance indicators.
Develop dashboards and visual assessments of health care quality metric performance and key performance indicators using claims, administrative, and/or program data.
Provide data and analysis to leaders to inform strategic recommendations on health care quality.
CareOregon is a nonprofit, mission-driven health plan focused on providing care to low-income Oregonians. They include Columbia Pacific CCO, Jackson Care Connect, Housecall Providers and their work as part of Health Share of Oregon and they are committed to quality. CareOregon is an equal opportunity employer.
Builds and modernizes data pipelines and integrations to improve processing efficiency.
Engineers data and analytics components and improves reliability/performance.
Supports testing, documentation, and O&M transition materials.
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, the company supports public sector agencies and commercial enterprises around the globe.
Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark.
Design and implement RBAC and dynamic data masking policies in Snowflake, ensuring data access is secure, compliant, and auditable.
Lead the technical direction of analytics engineering practices, including data modeling, transformation pipelines (dbt), and data quality frameworks.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They pride themselves on their culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis.
Lead, coach, and develop a team of analytics engineers and/or data engineers.
Ensure on-time delivery of client data integrations by owning enterprise data model standards and maintaining consistent, governed data definitions.
Oversee client data pipelines using modern tooling (dbt, Airflow, Snowflake, AWS, Python) to ensure reliable operation and uptime.
SmarterDx builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, their platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial.
Transform raw data into business insights, working closely with stakeholders.
Apply software engineering principles like version control to the analytics codebase.
Implement validation checks and automated testing procedures to manage data quality.
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. They deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes.
The Finance Systems Data Analyst plays a key role in supporting the Finance organization by ensuring the accuracy, consistency, and accessibility of financial data across SAP and Snowflake environments.
Bridges finance, data engineering, and business intelligence, helping to optimize data flows, automate reporting, and enable better financial decision-making through clean, connected data.
Maintain, validate, and reconcile financial data between SAP (FI/CO, AR, AP, GL, etc.) and Snowflake data warehouse.
Remote solves modern organizations’ biggest challenge – navigating global employment compliantly with ease. They make it possible for businesses of all sizes to recruit, pay, and manage international teams, and their fully remote team works asynchronously around the world.
Architect and build the semantic layer powering AI-driven analytics.
Design, build, and refactor DBT models to maintain a trustworthy source of truth for enterprise KPIs.
Bring data to life with compelling presentations and reports that drive key decisions and actions.
Roofr is focused on providing their customers with the tools that they need. They have built a CRM that connects solutions such as payments, material ordering, and more into a platform.
Design, build, and maintain scalable data pipelines
Develop and optimize ETL processes to support data products
Work with structured and unstructured data across SQL and NoSQL systems
They are seeking a Data Engineer to support the development of data products that power critical business functions. They seem to have a collaborative, cross-functional Agile environment where you'll partner closely with technical and business teams to deliver high-quality data solutions.
Own and analyze the end-to-end user funnel to improve conversion and user experience.
Define KPIs and measurement frameworks for product initiatives and business Performance
Lead the design and analysis of A/B tests, including hypothesis definition and impact evaluation
Resident is focused on quality materials, timeless style, and comfort. They are one of the fastest-growing, scaled, and profitable omnichannel retailers in North America.
Design, build, and maintain scalable data pipelines using AWS Glue (PySpark), or equivalent orchestration and transformation tools.
Engineer and optimise the ClickHouse warehouse for sub-second query performance across all back-offices.
Implement data contracts between back-office and the platform.
Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture.