

Data Engineer - W2 Contract Only!
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a W2 contract in Irving, TX, offering a pay rate of "X". Requires 6+ years of experience, expertise in AWS, Azure, Spark, and SQL, plus a degree in computer science or related field.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
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ποΈ - Date discovered
July 23, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Irving, TX
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π§ - Skills detailed
#API (Application Programming Interface) #Automation #Databricks #Grafana #Big Data #GitHub #Kafka (Apache Kafka) #Prometheus #Data Lake #S3 (Amazon Simple Storage Service) #Scala #Security #Apache Airflow #IAM (Identity and Access Management) #Data Engineering #Airflow #Computer Science #Azure cloud #MongoDB #Cloud #Python #AWS (Amazon Web Services) #Data Pipeline #Docker #Lambda (AWS Lambda) #Data Modeling #Spark (Apache Spark) #REST (Representational State Transfer) #Terraform #Azure #"ETL (Extract #Transform #Load)" #Apache Spark #Observability #NoSQL #Datadog #Databases #DynamoDB #Oracle #SQL (Structured Query Language) #Programming #Monitoring #Compliance #Data Processing #GCP (Google Cloud Platform)
Role description
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Welcome to Mastech Digital, a leading digital first company that empowers global corporations through innovative digital transformation services. Mastech Digital (NYSE American: MHH) is a leading provider of Digital Transformation services with Data driven Innovation. We offer Technical staffing services, H1B sponsorship, Day 1 green card filings with our pre-approved groups.
I appreciate your time and effort to consider Mastech Digital as a valuable employer for you to present your candidature at the clientβs end.
About Mastech Digital Inc : https://www.mastechdigital.com/
Job Title: Data Engineer
Location: Irving, TX (Onsite)
Job type: W2 Contract with Mastech Digital (No C2C/No CTH/No 1099)
Open for H1b transfer & Day GC filing
We are looking for candidates with proven expertise in the following technologies and platforms:
β’ Strong hands-on experience with AWS services, particularly Lambda, Kinesis, Glue, S3, Step Functions, CloudWatch, and IAM, to build and manage scalable, cloud-native data pipelines.
β’ Proficiency in using Amazon S3 as a central data lake and Apache Spark (via EMR or Glue) for distributed data processing at scale.
β’ Advanced programming skills in Python, with the ability to develop robust and reusable ETL components.
β’ Experience in orchestrating workflows using Apache Airflow or AWS MWAA, as well as event-driven state machines with Step Functions.
β’ Knowledge of containerization and infrastructure automation using Docker, Terraform, and GitHub Actions as part of CI/CD workflows.
β’ Strong background in monitoring and observability using tools like CloudWatch, Datadog, or Prometheus/Grafana.
β’ Experience integrating with external systems and services using RESTful APIs and gRPC protocols.
β’ Solid understanding of cloud security and compliance, with working knowledge of IAM policies, CloudTrail auditing, and encryption standards for data at rest and in transit.
β’ Hands on experience with SQL technologies.
β’ 4+ yearsβ experience in building data workflows and big data systems.
β’ Must have 2+ years in Azure cloud and databricks setup.
β’ Must have 4+ yearsβ experience in spark framework based data pipeline development.
β’ Must have exposure to API development.
β’ 4+ years of experience in any relational database (Oracle/Postgres).
β’ 2+ years of experience in any NoSQL databases (Cassandra/MongoDB/DynamoDB).
β’ 4+ years of experience in any cloud services (AWS, Azure, GCP).
β’ Must have experience with messaging Technologies like Kafka or Rabbit MQ.
Qualifications
β’ Bachelorβs or masterβs degree in computer science, Engineering, or a related field.
β’ 6+ years of experience in data engineering, preferably in the retail or logistics domain.
β’ Experience designing and operating production-grade data pipelines on AWS.
β’ Strong understanding of data modeling concepts (document, dimensional, normalized).
β’ Excellent problem-solving skills and ability to work in a fast-paced, distributed team.
Madhuri N. she/her
Recruiter
Nouduru.madhuri@mastechdigital.com
https://www.linkedin.com/in/madhuri-n-4754021aa/
www.mastechdigital.com