Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).
Job Title: Data Engineer (PySpark / Scala / Python)
Location: Remote
Job Description:We are hiring a Data Engineer with strong hands-on experience in PySpark, Scala, and Python. You must have solid expertise in Apache Spark, as it will be the core technology used for building and managing large-scale data processing pipelines.
Experience with cloud platforms like Google Cloud Platform (GCP), Microsoft Azure, or AWS is a plus.
Required Skills:Strong hands-on experience with Apache Spark
Proficient in PySpark
Experience in Scala and Python
Knowledge of ETL processes and data pipeline design
Understanding of distributed data processing
Familiarity with version control tools like Git
Basic knowledge of cloud platforms (GCP, AWS, or Azure)
Experience with cloud-native data tools (e.g., Dataproc, Glue, EMR, BigQuery)
Familiarity with workflow/orchestration tools like Airflow or Cloud Composer
Experience with CI/CD for data engineering
Exposure to both structured and unstructured data
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build and operate production data pipelines supporting analytics, AI, and agentic workflows. Responsibilities include implementing canonical data models, maintaining Databricks or Snowflake platforms, monitoring reliability, responding to incidents, validating healthcare data mappings, improving performance and cost, and documenting architecture. Requires strong SQL and Python skills, cloud data platform experience, ETL/ELT orchestration expertise, and healthcare or pharmaceutical data experience.
Top Skills:
Ai/Ml WorkflowsDatabricksEltETLHedisOmopPythonSnowflakeSQL
AdTech • Automotive • Big Data • Consumer Web
Administer and enhance Edmunds’ Databricks data platform and AWS infrastructure. Build and maintain ETL pipelines, infrastructure-as-code tooling using Terraform or CDK, and operational dashboards, alerts, and reports. Collaborate with business, engineering, analytics, security, and infrastructure teams to support data platform users and AI solutions. Evaluate new technologies, troubleshoot platform issues, and improve operational, cost, and security visibility.
Top Skills:
SparkAWSAws CdkDatabricksInfrastructure As Code (Iac)PythonScalaSQLTerraform
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance.
Top Skills:
AIApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
