Mid Data Engineer

Lead discovery, define technical vision and target architecture, and drive delivery of governed data foundations that support analytics and agentic AI. Requires deep hands-on data experience (10+ years for Senior, 15+ for Director), expertise with Salesforce Data 360 / Informatica IDMC / MuleSoft, strong data modeling, governance, integration, and experience applying AI-augmented delivery practices. This is a customer-billable, individual-contributor delivery role focused on outcomes and practice-level enablement.

Coforge is hiring a Mid Machine Learning Engineer (3+ years) for a remote role open to candidates in Bolivia, Colombia, Costa Rica, and Peru. Responsibilities include designing, developing, deploying, and maintaining production ML models and pipelines, architecting data ingestion and feature engineering, and managing the full ML lifecycle. Required skills: Python, SQL, PySpark, scikit-learn/XGBoost/PyTorch/TensorFlow, MLflow (or equivalent), Databricks/cloud platforms (AWS/GCP/Azure), and experience with large datasets and MLOps practices.

Lead Data Engineer responsible for leading and mentoring data engineering teams, owning architecture and production delivery of scalable data platforms, and driving migrations (e.g., Snowflake/SSIS to Azure Databricks and dbt). Required: 8+ years in data engineering (2–3+ years in lead/staff role), strong hands-on experience with Snowflake, Azure Databricks, dbt, Python, Terraform, SQL, ETL/ELT, CI/CD, and cloud migrations; preferred experience with governance, observability, real-time streaming (Kafka/Event Hubs), Delta Live Tables, and multi-cloud environments.

CrowdStrike is hiring a Senior Platform Data Engineer to own reliability, scalability, and performance of the analytics data platform. Responsibilities include deploying and administering Airflow and Superset, managing IaC with Terraform, building CI/CD for platform services, implementing platform security, developing data models with dbt and cataloging assets in OpenMetadata, and writing automation in Python. Requires CJIS eligibility (U.S. citizenship or permanent resident) and at least 8 years of combined infrastructure and data engineering experience.

TransUnion is hiring Consultants in Data Science & Analytics to work remotely in the US on client implementations. Responsibilities include scoping and delivering post-sales deployments, configuring and diagnosing ETL and data integrations, transforming and debugging data pipelines, and collaborating with cross-functional teams. Required: bachelor's degree plus 3 years in market research analytics and proficiency in tools such as Tableau, SQL, BigQuery, GCP, Google Analytics, and ETL technologies.

Kunai is hiring a Remote (United States) Data Engineer to support a banking client. The role requires 5+ years in application development (strong Python), 4+ years hands-on with AWS, 4+ years with relational databases including PostgreSQL and complex SQL, experience with data migration in cloud environments, familiarity with Databricks and Snowflake, distributed/batch/stream processing tools (Spark, Kafka, Kinesis), and workflow orchestration (Airflow). Bachelor's degree required (or equivalent experience/training).

Owner of solution design and implementation for Hightouch's Identity Resolution product. Responsibilities include assessing customer data landscapes, designing IDR rules and data models, implementing deployments, writing and reviewing SQL for debugging, and collaborating with Sales Engineering and Customer Support. Requires 2+ years in analytics/implementation roles and fluency with data warehouses such as Snowflake, BigQuery, or Databricks.

This forward-deployed architect works directly with enterprise customers to scope discovery, design target-state schemas and identity matching rules, direct builds (including reviewing and owning models), and produce reusable reference architectures. Requires strong SQL fluency and experience with Snowflake, Databricks, or BigQuery, 5+ years in customer-facing technical roles (analytics engineering, solutions architecture, or similar), and experience with CDPs/identity resolution and transformation tooling (dbt/SQLMesh) is a plus.

Be the first Senior ML Engineer at Primer working with a Staff Engineer to establish ML foundations. Responsibilities include full ML lifecycle ownership (research, training, deployment, monitoring), building ML infrastructure (versioning, CI/CD, observability), partnering with product/data/engineering, running experiments/A/B tests, and mentoring engineers. Requires strong Python and ML library experience, understanding of MLOps and cloud (AWS preferred), and familiarity with reinforcement learning concepts. Remote-first, distributed company.

The Data 360 Senior Technical Architect is a senior, customer-facing technical advisor within Salesforce CSG Professional Services who architects and delivers complex Data 360 solutions, provides internal enablement (reference architectures, reusable assets, training), and feeds product/engineering with Voice of the Customer. Requires hands-on Data 360 experience and Salesforce Data 360 Consultant certification; responsibilities include solution scoping, technical design, mentorship, and participating in pre-sales activities.