Join the Data Intelligence Hub to design and implement end-to-end data flows, reliable incremental pipelines, and contextual data models that power Digital Twin experiences and AI-native products. Requires 4+ years building backend platforms or data-intensive systems, strong Python and SQL skills, experience with cloud and modern lakehouse/streaming technologies (e.g., Databricks, Delta Lake, Spark, BigQuery, Kafka/PubSub), and a focus on reliability, scalability, testing, and observability. Collaborative work with globally distributed teams.

Lead design and implementation of scalable data warehouse and lakehouse architectures on Cloudera, define enterprise data models, metadata and governance frameworks, and integrate AI/ML capabilities (LLMs, RAG, vector DBs) into production data platforms. Drive AI governance, metadata, lineage, data quality, and AI-assisted development practices while mentoring teams and collaborating with business stakeholders across Finance and Sales.

Consulting role responsible for end-to-end migration of a large financial-services data platform from Google Cloud (BigQuery, Cloud SQL, Dataflow) to AWS (Redshift, Aurora, DMS, Glue, S3). Work includes data mapping, schema conversion, ETL/ELT and CDC pipeline implementation, time-series and historical data migration at scale, and building monitoring/reconciliation frameworks. The role also involves mentoring teammates and partnering with client stakeholders on data governance, access patterns, and analytics requirements.

Lead development of internal data infrastructure and billing data systems: design and maintain data warehouse, partitioning, access controls, security, ETL/ELT pipelines, and data models. Partner with data science, revenue operations, finance, product, and engineering to define KPIs and build dashboards. Tech stack experience sought: Python, SQL, BigQuery/Snowflake, dbt, Fivetran, Airflow, AWS/GCP, Docker/Kubernetes, CI/CD, and visualization tools (Sigma/Looker/Tableau).

The Pricing Systems Analyst designs, builds, and refines pricing models and pricing-related data pipelines (SQL, Looker, Tableau) to automate client savings projections and support high-complexity submissions. The role coordinates with Data, Engineering, and Proposals teams, maintains technical documentation and code quality, provides Tier-3 support and deep-dive analyses, and helps evolve the pricing analytics codebase.

Parexel is seeking a Data Quality Lead / Data Management Lead to oversee data management activities for oncology (late‑phase) studies. Responsibilities include study-level DM leadership, vendor/CRO oversight, risk and resource management, data integration using FAIR principles, use of surveillance tools to ensure data quality, and advising on CDISC/SDTM and regulated data standards. Required: BS/MS in relevant field, 7+ years clinical data management/biometrics experience, proficiency with CDISC and ICH-GCP, project management skills, and written/oral English fluency. Preferred skills include SAS/R/Python/SQL, advanced analytics/ML tools, big-data technologies, and visualization tools.

Remote Lead Data Engineer based in Brazil responsible for building and managing end-to-end pipelines powering marketing, product and growth analytics. Requires hands-on experience with BigQuery/Google Cloud, dbt, SQL, Fivetran (or similar), GA4 event processing at scale, identity resolution, data modeling/warehousing and integrating data across product, marketing, CRM and e-commerce systems. Preferred experience includes Segment, Redshift, Braze, Shopify, Airflow/Dagster and growth analytics.

Bounteous seeks a QA Analyst (contract, LATAM – Mexico) to execute test cases, validate and query complex data sets, document defects, and improve QA documentation and testing frameworks. Requires 1–3 years in software or data QA, familiarity with relational databases and data manipulation, strong analytical and communication skills. Preferred exposure to SQL/BigQuery, BI tools (Looker, Tableau), and basic Python. Employer may sponsor visas.

Role focused on engineering the data backbone for infrastructure security: ingestion and transformation pipelines, data lake/lakehouse architecture, analytics for posture scoring and detection, and securing the data layer (encryption, RBAC/ABAC, audit). Requires 15+ years building production data systems; strong software engineering skills (Python/Go/Scala/SQL). Salary range stated: 272,000–431,250 USD/year.

Role focuses on architecting and building Operational Data Store/Enterprise Data Lake platforms and automated pipelines. Responsibilities include designing complex data transformations, building Airflow workflows, enforcing CI/CD and version control, implementing data validation, and partnering with Analytics, Sales and Marketing. Requires hands-on experience with Python, SQL, dbt, Airflow, cloud data warehouses (e.g., Snowflake/Redshift) and marketing datasets.

Sayari is hiring a Senior Data Engineer to own end-to-end delivery of scalable data pipelines and orchestration systems that transform primary-source records into actionable intelligence. Responsibilities include designing and maintaining pipelines (Python, Spark, Airflow), collaborating with AI/ML and Product teams, optimizing ETL processes, and ensuring production reliability. Requires 5+ years of production data engineering experience and hands-on experience with Snowflake or equivalent (BigQuery/Redshift). Target base salary $140,000–$160,000 USD.

Join Stripe's Security Analytics Infrastructure team to build and support SIEM, SOAR, EDR, server observability, threat intel and AI infrastructure. Role requires 5+ years of software engineering experience, significant cybersecurity experience, and experience applying AI tooling; Go and Python are preferred.

The Data Scientist will develop algorithms and ML models (including NLP, LLMs, recommendation systems, and agentic workflows) to generate people-related business insights, own the end-to-end MLOps lifecycle, and deploy production models. The role requires collaboration with IT and business partners, presenting results to non-technical stakeholders, and maintaining reusable, version-controlled code and documentation. Minimum 3 years of data science experience is required; proficiency in Python, SQL/BigQuery, Git, and tools such as Tableau, Kubeflow or MLflow is preferred.

Renaissance seeks a Psychometric Data Analyst II to extract and validate data from SQL and NoSQL systems (e.g., Snowflake, MongoDB), perform psychometric and statistical analyses (including IRT, reliability, and norming), validate assessment logic, and communicate findings via reports and dashboards. Requires a bachelor’s in a related field and a minimum of 6 years' relevant experience; salary range $61,800–$85,000 USD; applicants must be authorized to work in the United States.

Seeking an experienced Data Engineer to own end-to-end data pipelines and architectures for an AI-native connected platform. Responsibilities include building idempotent pipelines, dimensional modeling, production-grade Python engineering, dbt model development, Databricks job deployment (DAB), Delta Lake operations, data quality and governance, and mentoring/technical leadership. Position is 100% remote; compensation paid in USD.

Join as a Senior/Lead Data Engineer responsible for designing and implementing idempotent data pipelines and dimensional models, authoring dbt models and tests, writing production-grade Python (with testing and type hints), and operating Databricks/Delta Lake environments (including DAB and Unity Catalog). The role includes technical leadership responsibilities such as setting architectural standards, mentoring engineers, ensuring data quality and governance, and participating in hiring and technical decisions. Experience with Azure Data Factory, Azure Data Lake, secret management, and observability is preferred.

Remote Senior/Lead Data Engineer responsible for designing and implementing idempotent data pipelines, dimensional models (star/snowflake), and scalable data marts. Technologies and practices include SQL, dbt (models/tests/exposures), Databricks (DAB, Unity Catalog), Delta Lake, Spark/PySpark, production Python (type hints, pytest), data quality checks, secret management, Git workflows, and Azure data tooling. Role includes technical leadership, mentoring, architecture decisions, and cross-repository governance.

Role to design and implement idempotent, production-grade data pipelines and data marts (star/snowflake schemas) powering an AI-native aftermarket platform. Responsibilities include building dbt models and tests, authoring Databricks jobs (DAB), operating in Unity Catalog, ensuring data quality and governance, mentoring engineers, and defining technical standards. Key technologies: Python, PySpark, SQL, dbt, Databricks, Delta Lake, Azure Data tooling, and Git-based workflows. Position is 100% remote and targeted to Brazil/São Paulo.

Seeking an experienced data engineer to architect and implement robust, idempotent pipelines using a modern data stack (dbt, Databricks, Delta Lake, PySpark, SQL). Responsibilities include data modeling, data quality, deployment with Databricks Asset Bundles, governance, mentoring, and defining technical standards. Position is remote, targets Latin America, and offers USD-based pay.

Webflow seeks a Senior GTM Engineer, Marketing Operations to design, build, and maintain multi-system automation, data modeling/integration, and predictive scoring for marketing, sales, and partner motions. Role is remote-first (United States; BC & ON, Canada), full-time permanent, reports to Director of Marketing Automation & Technology, and requires 5+ years of relevant GTM/marketing/revenue operations experience with deep Salesforce and MAP experience and hands-on workflow automation tooling (Clay, n8n, Make, Zapier, etc.).