Data Engineer

Remote, Multiple locations across, USA

Are you excited about data? Do you think cloud adoption is changing the way people and companies do business? Do you like being involved in solving complex business problems by creating advanced and innovative technical solutions?

If yes — we’ve got a solution for you!

Join ABCloudz — a full-service company helping customers modernize legacy applications, create new solutions, and manage data, applications, and infrastructure anywhere. With close to 300 engineers and consultants in 4 countries, ABCloudz has expertise with modernizations to Azure, AWS, and GCP, BI, Advanced Analytics, AI, Big Data, IoT, Application Development, DevOps, and Managed Services. Taking care of data for customers to make sure it’s secure, available, consistent, and managed in a cost-effective manner with mitigated risks — this is in our DNA.

So if you enjoy working with data and considering what’s your next career move, we’ll be thrilled to talk to you!

We are looking for a U.S.-based Data Engineer to join an existing data and analytics team for a six-month contract. This person will work as an embedded member of the team, supporting day-to-day data engineering needs, reporting-related data processes, and integrations across the organization’s data environment.

The environment includes SQL Server, Snowflake, Power BI, SQL-based reporting, and other reporting and data-processing tools. The ideal candidate is a strong hands-on engineer who can work independently, understand existing processes, troubleshoot issues, and develop or modify data solutions as business needs evolve.

Responsibilities

• Develop, maintain, and troubleshoot data pipelines and data-processing workflows.
• Use Python to support data integration, transformation, automation, and related engineering tasks.
• Write and optimize SQL for data extraction, transformation, analysis, and reporting.
• Work with SQL Server and Snowflake data environments.
• Support data consumed by Power BI, SQL-based reports, and other reporting tools.
• Troubleshoot data availability, data quality, integration, and reporting issues.
• Modify existing data processes and develop new solutions as requirements arise.
• Work with application, database, analytics, and infrastructure teams to resolve cross-platform issues.
• Document changes, processes, dependencies, and technical solutions as appropriate.
• Participate in team meetings and operate as an integrated member of the customer’s Data & Analytics team.

Required Qualifications

• Strong professional experience as a Data Engineer or in a similar hands-on data engineering role.
• Strong Python development experience.
• Strong SQL skills, including working with relational databases and complex data queries.
• Experience developing and supporting ETL/ELT or other data-integration processes.
• Experience troubleshooting data pipelines, integrations, and downstream data-consumption issues.
• Ability to work independently in an existing environment and quickly understand unfamiliar systems and processes.
• Strong communication skills and ability to work directly with technical and business stakeholders.
• Must be based in the United States and available to work fully within U.S.

  Pacific

  Time business hours.

Preferred Experience

• Microsoft SQL Server.
• Power BI and reporting-data architectures.
• SSRS or other SQL-based reporting platforms.
• SSIS or similar ETL/data-integration tooling.
• Data integrations involving third-party applications, APIs, files, or vendor platforms.
• Experience working in financial services or another regulated environment.