Technology Ventures

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." Candidates must have mortgage industry experience, expertise in Python, SQL, AWS Glue ETL, and Angular JS, along with a Bachelor's degree and 15+ years in software development.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 24, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Reston, VA
-
🧠 - Skills detailed
#Alation #Data Engineering #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #AWS (Amazon Web Services) #Scala #Data Analysis #Databases #Python #Computer Science #Redshift #Angular
Role description
Must Have: • Ability to analyze and gather insights from large volumes of Data • Skilled in Python and SQL to write ETL scripts. • Understanding of AWS services, primarily Glue ETL and Redshift. • Mortgage Industry experience as Data Engineer. • Angular JS skill needed. Responsibilities • Data Analyst gathers user requirements for database changes. • Analyzes database requirements. • Creates specifications for the ETL team to load the data to the database. • Participates in functional design sessions. • Creates and executes test scripts for the load of the database. • Aids in the escalation/resolution of data issues. • The candidate must be familiar with the development lifecycle. • Must be proficient in querying databases via SQL or other tools. Qualifications • Bachelor degree in Computer Science, Information Systems or related field. • Professional certification(s) desired. • 15+ years software development experience with experience with projects of similar scope and complexity. Required Skills • Expertise with Software Development Lifecycle (SDLC). • Ability to translate high level business requirements into database and ETL requirements (source to target mappings). • Ability to document business processes. • Knowledge of SQL for querying databases. • Excellent communication skills. • Strong analytical skills. • Ability to multitask is critical. • Knowledge of testing tools such as Mercury Quality Center or HP Quality Center desired.