Cooperdyne Tech Jobs

Data Engineer

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

Pfizer

Data Engineer

6 Days Ago

In-Office or Remote

Cambridge, MA, USA

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

Edmunds

Data Engineer

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

CrowdStrike

Data Engineer

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 Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories