Mastech Digital
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "Unknown," offering a pay rate of "Unknown," and requires expertise in ETL/ELT workflows, Apache Airflow, SQL, and relational databases like Postgres and Oracle. Agile experience is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Painted Post, NY
-
🧠 - Skills detailed
#SQL Queries #SQL (Structured Query Language) #Database Utilities #DBeaver #Data Engineering #Data Pipeline #Databases #Monitoring #Airflow #Data Quality #Apache Airflow #"ETL (Extract #Transform #Load)" #Oracle #Agile
Role description
SCOPE OF POSITION:
1. Embed within a cross-functional Agile team, participating in sprint planning, stand-ups, backlog refinement, and technical discussions.
1. Design, build, troubleshoot, and maintain ETL/ELT workflows that support application functionality, analytics, reporting, and scientific workflows.
1. Develop and manage data pipelines using Apache Airflow, ensuring reliable orchestration, scheduling, monitoring, and recovery of data processes.
1. Work with stakeholders including software developers, scientists, and engineers to understand data sources, workflow requirements, and downstream data needs.
1. Extract, transform, validate, and load data across systems, including relational databases such as Postgres SQL and Oracle.
1. Write, optimize, and maintain complex SQL queries, scripts, and transformation logic to support operational and analytical use cases.
1. Troubleshoot data quality issues, ETL failures, pipeline bottlenecks, and schema inconsistencies; identify root causes and implement durable solutions.
1. Support database exploration, data validation, and troubleshooting using tools such as DBeaver and related database utilities.
SCOPE OF POSITION:
1. Embed within a cross-functional Agile team, participating in sprint planning, stand-ups, backlog refinement, and technical discussions.
1. Design, build, troubleshoot, and maintain ETL/ELT workflows that support application functionality, analytics, reporting, and scientific workflows.
1. Develop and manage data pipelines using Apache Airflow, ensuring reliable orchestration, scheduling, monitoring, and recovery of data processes.
1. Work with stakeholders including software developers, scientists, and engineers to understand data sources, workflow requirements, and downstream data needs.
1. Extract, transform, validate, and load data across systems, including relational databases such as Postgres SQL and Oracle.
1. Write, optimize, and maintain complex SQL queries, scripts, and transformation logic to support operational and analytical use cases.
1. Troubleshoot data quality issues, ETL failures, pipeline bottlenecks, and schema inconsistencies; identify root causes and implement durable solutions.
1. Support database exploration, data validation, and troubleshooting using tools such as DBeaver and related database utilities.
