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Designs, builds, and maintains scalable ETL/ELT data pipelines and cloud data solutions on Google Cloud Platform. Core stack is BigQuery, GCS, Pub/Sub, Cloud Composer (Airflow), and DBT, with strong emphasis on data quality checks, monitoring/alerting, and cost/performance optimization.
Multi-level data engineer hire (Associate, II, or Senior) at insurer The Hanover: designing and building scalable ETL pipelines, data models, and integrations on Azure cloud (Synapse, Data Factory, ADLS, Databricks/Spark) to power analytics and reporting, with focus on data quality, governance, and stakeholder collaboration.
Senior Analytics Engineer designs data models and ETL/ELT pipelines for BI reporting, uses SQL/Python to define KPIs, creates dashboards with Tableau/Power BI, and mentors team members at autonomous vehicle company Torc Robotics.
Senior Data Engineer at Coderio who designs, builds, and optimizes AWS-based batch and streaming data pipelines and lakehouse architectures for large volumes of financial/transactional data. Core stack: Python, SQL, Spark, AWS (S3, Glue, Athena, Lambda), Airflow, Kafka/Kinesis, and dbt. Must reside in Argentina, Brazil, or Uruguay.
Tekton Labs, an IT outsourcing and consulting firm, is hiring a semi-senior data engineer in Lima to join the team of a Chilean retail client. The role designs, builds, and maintains ETL/ELT pipelines and data models using Python, PySpark, Scala, SQL, dbt, and Airflow, integrating AWS services like S3, Glue, Redshift, EMR, Lambda, and Athena.
On-site Lead Data Engineer in Guadalajara, Mexico, designing and building scalable on-premises and cloud data platforms and ETL/ELT pipelines. Core stack is Python, Spark/PySpark, SQL, Hadoop, and Databricks, combined with technical leadership duties such as architecture decisions, code reviews, and mentoring.
Mid-level data engineer at Capgemini Engineering who designs, builds, and optimizes scalable data pipelines and analytics solutions on the Databricks platform (Spark, Delta Lake) using Python/SQL, cloud platforms (Azure/AWS/GCP), and BI tools like Power BI, including ETL/ELT, data replication with HVR, and CI/CD support.
Senior Data Engineer at Malibu Boats in Loudon, TN, designs, builds, and supports data pipelines and integrations powering manufacturing operations, the dealer ecosystem, and enterprise reporting. The role bridges legacy SQL Server ETL with a modern Microsoft Fabric platform using Python, PySpark, Delta Lake, and APIs.
ML Engineer (Machine Learning) Location: Remote (EST) or Onsite (Philly/DC/CA) 3 - 6 Months $45-$50/HR Tech: Python, PySpark, AWS, Databricks IV Process: 3 Rounds! Screen Coding System Design Role: Build custom DL…
Remote Data Engineer who designs, builds, and maintains ETL/ELT pipelines in Azure Data Factory, develops Snowflake data models and transformations with dbt, writes advanced SQL, and supports production pipelines for analytics and reporting.
Data Architect (remote) at QBrainX: leads the offshore data team while designing, deploying, and managing the organization's data architecture, databases, warehouses, and legacy migrations. Core stack centers on Azure data services (SQL, Data Factory, Data Lake, Databricks, Synapse), Snowflake, BigQuery, DBT, PySpark, and Power BI/Tableau; 10+ years experience required.
A senior data engineering architect who designs scalable data solutions on the Azure stack (SQL, Data Factory, Data Lake, Databricks, Synapse) and cloud warehouses like Snowflake and BigQuery. Day to day they build ETL/ELT and data models using T-SQL, Python, PySpark, and DBT, deliver BI in Power BI/Tableau, and lead/mentor the data team while aligning solutions with business stakeholders.
Hands-on technical lead who architects, builds, and operates a Microsoft Fabric data lakehouse (OneLake, medallion architecture, Spark/SQL, CI/CD), integrating 50+ enterprise sources. Day to day: leading data engineers, building pipelines and Power BI semantic layers, enforcing governance, and managing vendor delivery.
Software engineer joining a newly built team at Schwarz Digits to build an AIoT platform that monitors the company's infrastructure and stores — anomaly detection and predictive maintenance on IoT time-series data (e.g. logs, energy usage). Core stack: Kafka/PySpark/Spark Streaming/MQTT, Python, MLOps, cloud architecture and OpenTelemetry observability in an agile team.
Senior Data Engineer at Gravie (health benefits for SMBs) builds, extends, and operates a near real-time streaming data platform in production — owning SLOs, replays, backfills, and pipeline reliability. Core stack: Kafka, Spark (PySpark), AWS services (MSK, EMR, Glue, S3), CDK/Terraform, with HIPAA/PHI governance.
Senior Machine Learning Engineer building scalable ML solutions for customer insights, marketing investment optimization, and data-driven decision-making. Core stack: Python, SQL, PySpark/Big Data, TensorFlow or PyTorch, and cloud ML tools like AWS SageMaker or Databricks. Hybrid in Mexico City or Guadalajara; remote from other Mexican states.
Mid-level Data Engineer (3+ years) at SteerBridge supporting a federal data modernization effort: designing and maintaining batch and real-time ETL/ELT pipelines, data lakes, and cloud workflows. Core stack includes Python, SQL, Pandas, PySpark, AWS Glue, and preferably dbt, Informatica, Azure Data Factory, and Databricks. On-site (3-5 days/week) in Vienna, VA; U.S. citizens with clearance eligibi
TCS is hiring an Azure Data Engineer with 5+ years of experience for a physical walk-in interview at its Chennai campus. The role centers on data solution design and hands-on pipeline work using PySpark, Python, Azure Data Lake, Azure Data Factory, Azure Databricks, and Azure SQL.
Own ML end-to-end for a proprietary trading platform: turn loosely framed business problems into models in a high-load, low-latency environment — from feature engineering and hypothesis testing to evaluation and business-ready results. Core stack: Python (NumPy, SciPy, Pandas, Scikit-learn), PySpark/MLlib, XGBoost/GBM, survival analysis, and MLflow.
Data Scientist on Aircall's product analytics team, partnering with product, engineering, and business leaders to deliver insights, run experiments, and build self-serve analytics for its AI-powered customer communications platform. Core stack: SQL, Python, Hex, Looker, dbt/Airflow; hybrid role based in San Francisco (2 days/week in office).
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