TECHEAD
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position on a 6-month contract, with a pay rate of $60-65/hr. Candidates must have 5+ years in Data Engineering, strong SAS and Python skills, and AWS experience, including ETL pipeline development and PostgreSQL expertise.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
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🗓️ - Date
June 23, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Lambda (AWS Lambda) #RDS (Amazon Relational Database Service) #SAS #Migration #Macros #Documentation #Database Schema #Base #Pandas #Cloud #Scala #SQL Queries #Programming #IAM (Identity and Access Management) #Data Science #Business Analysis #Schema Design #Data Orchestration #Data Integrity #Apache Airflow #"ETL (Extract #Transform #Load)" #PySpark #EC2 #Monitoring #Data Engineering #AWS (Amazon Web Services) #Redshift #Data Manipulation #Datasets #Spark (Apache Spark) #PostgreSQL #Data Quality #SQL (Structured Query Language) #S3 (Amazon Simple Storage Service) #Airflow #Indexing #Scripting #Python
Role description
About the Company
This position requires candidates to obtain a Public Trust Clearance. This is a 6 month contract with high likelihood of becoming permanent.
About the Role
We are seeking a skilled and driven Data Engineer to lead our data modernization initiatives. In this role, you will be instrumental in migrating, transforming, and optimizing our legacy SAS data infrastructure into a modern, scalable, and cloud-native data ecosystem.
Responsibilities
• Legacy Migration & Modernization: Analyze, reverse-engineer, and migrate legacy SAS datasets, macros, and ETL processes into modern Python-based applications and SQL workflows.
• Pipeline Development: Design, build, and maintain scalable, efficient, and automated ETL/ELT pipelines using Python (Pandas, PySpark, etc.) and orchestrators (e.g., Apache Airflow).
• Database Engineering: Design and optimize PostgreSQL database schemas, write complex and high-performing SQL queries, and manage data indexing and partitioning.
• Cloud Infrastructure: Deploy, manage, and optimize data workflows within AWS utilizing services such as S3, EC2, RDS, Lambda, and Redshift/Glue.
• Data Quality & Governance: Implement rigorous data validation, cleansing, and monitoring frameworks to guarantee data integrity during and after the migration.
• Collaboration & Documentation: Partner with business analysts and data scientists to understand legacy business logic and document the new cloud architecture.
Qualifications
• Experience: 5+ years of experience in Data Engineering, with a proven track record in data modernization or legacy migration projects.
• SAS Expertise: Strong reading proficiency in SAS (Base SAS, SAS Macros, PROC SQL) to understand and extract legacy business logic.
• Python Proficiency: Advanced programming skills in Python for data manipulation, scripting, and ETL development.
• SQL & PostgreSQL: Expert-level SQL skills and deep experience working with PostgreSQL (performance tuning, schema design, optimization).
• AWS Cloud: Hands-on experience with AWS data ecosystems (S3, RDS, IAM, Lambda, Glue, or Airflow/MWAA).
• ETL/Orchestration: Experience with modern data orchestration tools like Apache Airflow, Prefect, or AWS Step Functions.
Pay range and compensation package
$60-65/hr
Equal Opportunity Statement
We are committed to diversity and inclusivity.
About the Company
This position requires candidates to obtain a Public Trust Clearance. This is a 6 month contract with high likelihood of becoming permanent.
About the Role
We are seeking a skilled and driven Data Engineer to lead our data modernization initiatives. In this role, you will be instrumental in migrating, transforming, and optimizing our legacy SAS data infrastructure into a modern, scalable, and cloud-native data ecosystem.
Responsibilities
• Legacy Migration & Modernization: Analyze, reverse-engineer, and migrate legacy SAS datasets, macros, and ETL processes into modern Python-based applications and SQL workflows.
• Pipeline Development: Design, build, and maintain scalable, efficient, and automated ETL/ELT pipelines using Python (Pandas, PySpark, etc.) and orchestrators (e.g., Apache Airflow).
• Database Engineering: Design and optimize PostgreSQL database schemas, write complex and high-performing SQL queries, and manage data indexing and partitioning.
• Cloud Infrastructure: Deploy, manage, and optimize data workflows within AWS utilizing services such as S3, EC2, RDS, Lambda, and Redshift/Glue.
• Data Quality & Governance: Implement rigorous data validation, cleansing, and monitoring frameworks to guarantee data integrity during and after the migration.
• Collaboration & Documentation: Partner with business analysts and data scientists to understand legacy business logic and document the new cloud architecture.
Qualifications
• Experience: 5+ years of experience in Data Engineering, with a proven track record in data modernization or legacy migration projects.
• SAS Expertise: Strong reading proficiency in SAS (Base SAS, SAS Macros, PROC SQL) to understand and extract legacy business logic.
• Python Proficiency: Advanced programming skills in Python for data manipulation, scripting, and ETL development.
• SQL & PostgreSQL: Expert-level SQL skills and deep experience working with PostgreSQL (performance tuning, schema design, optimization).
• AWS Cloud: Hands-on experience with AWS data ecosystems (S3, RDS, IAM, Lambda, Glue, or Airflow/MWAA).
• ETL/Orchestration: Experience with modern data orchestration tools like Apache Airflow, Prefect, or AWS Step Functions.
Pay range and compensation package
$60-65/hr
Equal Opportunity Statement
We are committed to diversity and inclusivity.
