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Data Engineer - Remote, Latin America

Remote / Online - Candidates ideally in
South Dakota, USA
Listing for: Bluelight
Remote/Work from Home position
Listed on 2025-10-31
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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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.

We are looking for a skilled individual to join our rapidly growing team at Bluelight Consulting. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development.

If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.

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, Power

    BI, or similar.
  • Broad experience with multiple RDBMS: MS SQLServer, Oracle, MySQL, Postgre

    SQL, 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…
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