Design and implement a scalable enterprise data quality framework across data platforms and business domains.
Lead the implementation and operationalization of GX Core (Great Expectations) or similar data validation solutions.
Build automated validation checks for critical datasets, workflows, and operational processes.
The hiring company is a technology organization specializing in data engineering and quality solutions. They offer a remote work environment and emphasize collaboration across engineering teams.
Build an application that connects to legacy CRM systems, extracts data, and prepares it for migration into Dwelly's core platform.
Design workflows for cleaning, mapping, and validating complex CRM data, and build safe import flows with retries and error handling.
Own the platform end-to-end from architecture to production support, working closely with engineering, product, and operations teams.
Dwelly is a UK-based, AI-enabled lettings and property management platform that acquires estate agencies and integrates them into a tech-enabled digital platform. It is a fast-growing, product-focused company backed by top-tier investors with a team experienced in real estate, technology, and operations.
Manage and maintain the 'Golden Record' for core data domains, resolving data conflicts and duplicates.
Establish, measure, and monitor Data Quality KPIs, and perform root-cause analysis on data discrepancies.
Support the development of data governance standards, policies, and business rules, documenting data lineage and glossaries.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses, empowering millions of developers worldwide. With a remote-first culture and a strong focus on inclusion and connection, Twilio offers a vibrant team environment where diverse experiences make a global impact.
Write, debug, and optimize complex SQL queries to extract and analyze automotive marketing and inventory data.
Investigate and resolve data logic issues from HubSpot and Jira, tracking down historical discrepancies.
Build, update, and maintain client-facing dashboards and reports within BI environments.
GoFasti is a Talent-as-a-Service that bridges world-class developers and designers from Latin America with top companies globally. They focus on remote work and emphasize communication, attention to detail, and proactive learning.
Convert SQL, stored procedures, and database objects to PostgreSQL-compatible SQL/PLpgSQL, escalating complex cases to senior engineers.
Work through AWS SCT findings, maintain the Flyway migration codebase, and support query optimization for PostgreSQL.
Validate and reconcile data between source and target databases, and assist in diagnosing DMS data and performance issues.
Mactores is an agent-native AWS modernization firm that focuses on shipping production systems and retiring legacy systems. The company fosters a culture based on 10 Core Leadership Principles emphasizing decision-making, leadership, collaboration, and curiosity.
Design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value.
Work across the full data lifecycle, from ingestion and transformation to activation and analytics.
Use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions.
Jobgether uses an AI-powered matching process to help candidates find roles and connects top-fitting applicants directly with hiring companies. The company fosters a remote, collaborative environment with a focus on efficient recruitment.
Analyze, convert, and optimize database objects for migration from Microsoft SQL Server to PostgreSQL.
Develop and maintain stored procedures, functions, triggers, and views in T-SQL and PL/pgSQL.
Perform functional, integration, and performance testing of migrated database objects and validate data.
Fastwater Staffing is a recruiting firm that connects skilled professionals with contract opportunities. They operate in the US staffing market, with a focus on government clients and remote roles.
Own the design and scaling of the database (Postgres/Supabase) that powers our matching, outreach, and agents.
Ensure data quality through validation, dedup, entity resolution, and monitoring.
Build ingestion and enrichment pipelines for funding rounds, market news, and company research.
We are a platform where founders come to raise capital, pairing them with investors from a global network and running warm outreach. We are a profitable, self-funded company with a small, senior, flat team that ships fast.
Develop, execute, and maintain automated and manual test cases and test plans for DoD healthcare data pipelines.
Lead requirements gathering activities including stakeholder interviews and user stories.
Maintain testing documentation, defect reports, and escalate critical issues to project leadership.
Oddball is a small company that believes in building products with understanding and value. They focus on bringing quality software to the federal space to improve daily lives.
Own end-to-end product areas across Ingestion, Reverse ETL, Observability, and Catalog, translating complex technical challenges into clear priorities and measurable outcomes.
Go deep on data infrastructure, including database replication (Postgres WAL, MySQL binlog), CDC, sync performance, and schema evolution, to drive better product decisions.
Be the voice of US customers, uncovering pain points and validating product direction through regular conversations with real-world data teams.
Matia is building a unified DataOps platform that streamlines data management end-to-end, enabling faster, smarter decisions with less tool sprawl. They are a venture-backed startup with a small team, trusted by companies like Ramp and Outsystems, and are shaping the future of data confidence.
Design and validate data mapping and integration solutions to ensure data quality across healthcare systems.
Investigate and resolve complex data issues while collaborating with business and technical stakeholders.
Mentor other analysts and promote best practices for scalable, accurate data solutions.
Cohere Health provides a clinical intelligence platform and agentic AI-powered solutions that connect health plans and providers to optimize care speed, cost, and quality. The company has been named to the 2025 Inc. 5000 list and is backed by leading investors, fostering a supportive, growth-oriented culture for its team.
Implement and execute tests at all planned levels, logging and evaluating results.
Prepare and acquire test data, and contribute to test documentation.
Review and analyze project requirements to convert them into quality control process artifacts.
ELEKS is a software development company providing custom solutions. They offer a dynamic environment with a low level of bureaucracy and a team of professionals.
Build and own data quality and observability across a data platform, profiling data and defining quality rules to catch issues early.
Establish quality metrics, monitoring, and alerting, and track quality SLAs while investigating and resolving data issues at their source.
Partner with data engineering and business stakeholders on quality standards and reporting, leveraging strong SQL and Snowflake expertise.
Allocate is transforming private market investing by enabling RIAs and family offices to discover, model, and manage private market exposure through a data-rich platform. They are a growth-stage company that values meritocracy, civil discourse, and continuous improvement, embracing technological change especially around AI and automation.
Build and maintain data models and transformations powering reporting in the Skimmer product using Fivetran, dbt, and Sigma Computing.
Manage and extend data ingestion across growing sources, develop transformations in Python and SQL against Snowflake.
Partner with product and engineering to turn customer needs into reliable, performant reporting experiences.
Skimmer builds a product that helps pool professionals understand and grow their businesses through data models and customer-facing reports. The company has a strong culture with a very high eNPS, emphasizing hard work, celebrating wins, and continuous improvement.
Act as bridge between business and technology, translating complex requirements into robust technical solutions.
Own the complete lifecycle of data products from ingestion through modeling, validation, and delivery.
Implement rigorous data validation processes and ensure data accuracy and integrity for AI and analytics.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they accelerate innovation and collaborate to build impactful solutions.
Work on group data review and alignment to ensure People & Culture data consistency across countries.
Collaborate with the Group HR Controller, country HR Heads, and project teams to support data migration and governance.
Use SQL, Python, Databricks, and other tools to analyze large datasets, spot inconsistencies, and design data processes.
InPost is a leading e-commerce parcel delivery platform in Europe, operating a network of almost 47,000 Automated Parcel Machines and 35,000 pick-up points across nine countries. With a strong engineering culture and international environment, the company focuses on quality, collaboration, and impact.
Oversee data quality processes, investigate issues, and conduct root cause analysis.
Develop and maintain quality controls, reporting, and AI-assisted workflows.
Build and manage a team of data quality analysts to improve efficiency and accuracy.
ApartmentIQ is a profitable, growth-stage proptech company building AI and data SaaS products for the multifamily housing industry. With over 100 employees spread across the U.S., it has raised $30M+ from top investors and operates with a strict no a**holes policy.
Build and maintain data transformation pipelines using dbt and Snowflake, ensuring data quality and lineage.
Harmonize multimodal clinical data from multiple health systems into a unified ontological layer for AI developers.
Implement data quality tests, CI/CD, and version control best practices for analytics codebases.
Dandelion Health is a health tech company building the world's largest AI training and clinical development platform. It is a small, early-stage startup with a culture of learning from data and improving to help clients improve health through AI.
Partner directly with customers to identify data challenges and design technical solutions, connecting data sources and automating workflows.
Deploy and optimize AI-powered tools and workflows for customers, educating them on prompt engineering and LLM best practices.
Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden and improve platform reliability.
Standard Metrics is an AI-driven financial data platform that helps investors and portfolio companies make informed decisions with automated reporting and benchmarking tools. We are a team of optimistic product builders backed by 8VC and Spark Capital, trusted by top VC/PE firms.
Lead design and integration of new services for data and event processing.
Scale the Datastore’s core infrastructure and implement APIs for clinical studies.
Partner with product managers and teams to ensure data integrity and maintainability.
Beacon Biosignals is a precision medicine company focused on brain disorders, using EEG data and AI for biomarker discovery. With nearly 100,000 patient records and a cloud platform, their small team fosters empathy and scientific impact.