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Cloud Data Engineer

  • Location: Middletown, 07748
  • Job Type:Contract

Posted 14 days ago

Job Title: Cloud Data Engineer

Job Location: Middletown, NJ 

Job Duration: 12 months

Job Description

The Cloud Data Engineer will develop, support and optimize production data pipelines hosted in Azure Databricks. The Engineer will be using Azure cloud native services like Azure Databricks, Azure SQL (Postgres), Azure Data Factory, etc. as well as Pyspark and MS SQL. This individual will both develop and validate data pipelines to ensure they are accurate, optimized, and complete by working closely with SMEs.  Development tools in Python, Spark and Scala and will test modules as needed.

Daily Responsibilities:

  • Develop data pipelines to support business requirements
  • Perform data quality validation. Employ data mining techniques to achieve data synchronization, redundancy elimination, source identification, data reconciliation, and problem root cause analysis.
  • Investigate and resolve data issues across platforms and applications, including discrepancies of definition, format, and function.
  • Tune data models to optimize performance
  • Build the data infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure data tier technologies.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Review Pyspark code and SQL query logic to ensure accuracy
  • Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Job Requirements:

  • 8+ years of hands-on data engineering experience with major Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Databricks, Apache Spark, Snowflake, Flume, ZooKeeper, Hive, HBase, etc.
  • 5+ years of experience working with cloud platforms in data engineering disciplines and developing automation projects.
  • 3+ years of strong experience in Azure data platform and tools, including Azure Data Lake Storage (ADLS) Gen 2, Azure Databricks,  Azure Data Factory, etc.
  • Strong hands-on programming experience in Python and Spark required.

Desired skills:

  • Experience in building Devops pipeline within the Azure stack
  • Experience with Databricks Testing Framework
  • Experience with schema design (ex: star schema) and dimensional data modeling
  • SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience in working in Unix environment (Linux, Ubuntu, etc) and virtualization
  • Knowledge of various NoSQL databases such as Cassandra, HBase, MongoDB, etc


  • DP-203: Data Engineering on Microsoft Azure



  • BS in Computer Science or Software Engineering, Master’s Degree preferred

Candidates will be responsible for following the client's COVID-19 protocols. Please refer to your MATRIX representative for specifics.

About Us

At MATRIX, we expertly match talented professionals with job opportunities to elevate careers. Since 1983, we have placed thousands of professionals at innovative clients across every industry ranging from small startups to Fortune 50 companies. It’s why we’re consistently in the top 25 of all U.S. IT staffing firms and why our consultants rate us well above the industry average, earning us ClearlyRated's Best of Staffing awards year after year. People come to us for a job, and stay with us because of our top-notch consultant care.

MATRIX is and Equal Employment Opportunity employer including disability and veteran and provides reasonable accommodations for all qualified individuals.  Supporting medical or religious documentation will be required where applicable. If you are a qualified individual you may request a reasonable accommodation under the American Disability Act (ADA). If you are a person with a disability needing assistance applying, or at any point in the hiring process, please email us at To ensure a quick response to your request, please use the words “Accommodation request” as the subject line of your email.