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Data Engineer

SQA Group

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
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Salary:

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Job Description:

At SQA Group, we help companies leverage data to not just inform decisions, but to power purpose. Whether that means helping our clients build future-ready data foundations that are designed for scale and impact, crafting modern data platforms and pipelines that power real-time insights, or surfacing the metrics that truly matter, we help leaders unlock the true power of data modernization and humanization. We’re always looking for consultative-minded, hands-on practitioners to support our in-house Data & Advanced Analytics Solutions team with client projects and engagements.

Job Responsibility:

  • Design, build and integrate data pipelines from various sources
  • Assemble large, complex sets of data that meet non-functional and functional business requirements
  • Ensure that data models run reliably in production
  • Build and maintain architecture to support large volume data processing and storage, including Big Data
  • Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Manage data warehouses and lakes, data applications and data production systems including curation of data, management of pipelines, and delivery to analysts, data scientists, and other users
  • Integrate data into data warehouse & data lake using ETL & ELT processes while ensuring constant data integrity
  • Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using various SQL & NoSQL databases, cloud and on-premises services, and data integration tools
  • Build analytical tools that utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
  • Work directly with stakeholders including Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Requirements:

  • Understanding of relational and non-relational data models
  • structured, semi-structured, and unstructured data
  • and the unique challenges presented by big data sets
  • Experience with Big data tools like Hadoop, Kafka, and Spark
  • Experience with NoSQL databases including Cosmos, Couchbase, Cassandra, MongoDB, or Google Firestore
  • Experience with SQL databases including PostgreSQL, MySQL, SQL Server, or Oracle
  • Experience with Workflow management or pipeline tools such as Airflow, Luigi or Azkaban
  • Experience with Cloud services including AWS (Redshift, RDS, EMR or EC2) and Azure (Data Factory, Databricks, or Stream Analytics)
  • Experience with Data integration & ETL/ELT tools such as dbt, Fivetran, or Talend
  • Experience with Object-oriented programming languages including Scala, C++, Java or Python

Additional Information:

Job Posted:
January 20, 2026

Work Type:
Remote work
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