Cooperdyne Tech Logo

Cooperdyne Tech

Data Engineer

Reposted 2 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Design, build, and maintain Keboola-based data pipelines integrating multiple business systems to deliver accurate, scalable data for supply chain, logistics, and transportation analytics; collaborate with analysts and engineers; support documentation, governance, and pipeline automation.
The summary above was generated by AI

Data Engineer 

Location: Remote 

Citizenship: U.S. Citizen, Green Card

No 3rd parties

We’re seeking a Data Engineer to design and optimize data pipelines supporting our Supply Chain, Logistics, and Transportation operations. You’ll work with business and technical teams to integrate, transform, and deliver high-quality data for analytics and reporting. 

Responsibilities: 

  • Build and maintain data pipelines using Keboola

  • Integrate and model data from multiple business systems. 

  • Ensure data accuracy, reliability, and scalable performance 

  • Collaborate with analysts and engineers to support analytics needs. 

  • Contribute to documentation, governance, and pipeline automation. 

Qualifications: 

  • 5 years of experience in data engineering or data integration. 

  • Hands-on with Keboola (1 year preferred) or strong experience with similar tools. 

  • Proficient in SQL and familiar with cloud data platforms such as Snowflake. 

  • Understanding of APIs, JSON, and data modeling. 

  • Experience using Azure DevOps Boards in a team-based Agile environment. 

  • Preferred: Experience in Supply Chain, Logistics, or Transportation; Python scripting; CI/CD and version control (Git); and Azure DevOps experience managing repositories, pipelines, and software releases. 

Similar Jobs

6 Days Ago
In-Office or Remote
124K-207K Annually
Senior level
124K-207K Annually
Senior level
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
7 Days Ago
Remote or Hybrid
USA
125K-159K Annually
Mid level
125K-159K Annually
Mid level
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
8 Days Ago
Remote or Hybrid
USA
120K-180K Annually
Senior level
120K-180K Annually
Senior level
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 San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account