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Data Engineer (Only W2)

Digipulse Technologies, IncWestlake, TX🇺🇸United States

Why this role stands out

Embark on a rewarding career as a Data Engineer at Digipulse Technologies, Inc., where you'll build and maintain scalable data pipelines in a hybrid environment that fosters innovation and collaboration. If you possess strong Python, SQL, and cloud platform experience, and thrive on transforming complex data into actionable insights, this mid-senior role offers excellent opportunities for skill development and impactful contributions. Apply now to join a dynamic team and shape the future of data at a reputable technology firm.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationWestlake, TX, United States
SQLGitApache SparkAWSETLSnowflakeAirflowBigQueryDatabricksGoogle CloudKafkaPythonRedshiftdbtAzureCI/CD

Job description

Job Title: Data Engineer
Employment Type: W2 Contract

Job Description

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data platforms. The ideal candidate should have strong experience working with large datasets, cloud environments, ETL/ELT processes, and modern data engineering tools.

Key Responsibilities

  • Design and develop scalable ETL/ELT pipelines
  • Build and maintain data ingestion, transformation, and integration workflows
  • Work with structured and unstructured data from multiple sources
  • Develop and optimize SQL queries, stored procedures, and data models
  • Support data lakes, data warehouses, and analytics platforms
  • Ensure data quality, reliability, governance, and performance
  • Collaborate with Data Scientists, Analysts, Application teams, and business stakeholders
  • Monitor and troubleshoot production data pipelines
  • Implement automation and CI/CD practices for data workflows

Required Skills

  • Strong Python
  • Strong SQL
  • Experience with Spark / PySpark
  • Experience building ETL/ELT pipelines
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Data warehouse/lake technologies such as Snowflake, Databricks, Redshift, BigQuery, or Synapse
  • Experience with Kafka or other streaming technologies
  • Experience with relational and NoSQL databases
  • Familiarity with Airflow, dbt, Informatica, or similar orchestration/integration tools
  • Git and CI/CD experience
  • Strong understanding of data modeling, data quality, and performance optimization

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