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Data Engineer - Latin America, Remote

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Logoslabs
Remote/Work from Home position
Listed on 2026-10-24
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive.

With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

What we are looking for
  • Experience with AWS services including but not limited to S3, Athena, EC2, EMR, and Glue.

  • Ability to solve any ongoing issues with operating the cluster.

  • Experience with the integration of data from multiple data sources.

  • Experience with various database technologies such as SQLServer, Redshift, Postgres, and RDS.

  • Experience with one or more of the following data integration platforms:
    Pentaho Kettle, Snap Logic, Talend Open Studio, Jitterbit, Informatica Power Center, or similar.

  • Knowledge of best practices and IT operations in an always-up, always-available service.

  • Experience with or knowledge of Agile Software Development methodologies.

  • Excellent problem-solving and troubleshooting skills.

  • Excellent oral and written communication skills with a keen sense of customer service.

  • Experience with collecting/managing/reporting on large data stores.

  • Awareness of Data governance and data quality principles.

  • Well-versed in Business Analytics including basic metric building and troubleshooting.

  • Understand Integration architecture: application integration and data flow diagrams, source-to-target mappings, data dictionary reports.

  • Familiar with Web Services: XML, REST, SOAP.

  • Experience with Git or similar version control software.

  • Experience with integrations with and/or use of BI tools such as Good Data (preferred), Tableau, PowerBI, or similar.

  • Broad experience with multiple RDBMS: MS SQLServer, Oracle, MySQL, PostgreSQL, Redshift.

  • Familiarity with SaaS/cloud data systems (e.g. Salesforce).

  • Data warehouse design: star-schemas, change data capture, denormalization.

  • SQL/DDL queries/Tuning techniques such as indexing, sorting, and distribution.

  • BS or MS degree in Computer Science or a related technical field.

  • 3+ years of Data Pipeline development such as Snap Logic or Datastage, Informatica, or related experience.

  • 3+ years of SQL experience (No-SQL experience is a plus).

  • Experience designing, building, and maintaining data pipelines.

What you'll be doing
  • Develop and maintain data models for core package application and reporting databases to describe objects and fields for support documentation and to facilitate custom application development and data integration.

  • Monitoring execution and performance of daily pipelines, triage and elevate any issues.

  • Collaborates with analytics and business teams to improve data models and data pipelines that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.

  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes.

  • Writes unit/integration tests, contributes to engineering wiki, and documents work.

  • Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.

  • Work within AWS/Linux cloud systems environment in support of data integration solution

  • Works closely with a team of frontend and backend engineers, product managers, and analysts.

  • Teamwork:
    Collaborate with team members. Share knowledge,…

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