Data Engineer Job Description

Job Summary

We are looking for a talented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in data modeling, ETL processes, cloud platforms, and big data technologies to support analytics, reporting, and business intelligence.

Responsibilities

Design, develop, and manage ETL/ELT pipelines to collect, transform, and store large datasets.
Build and optimize data warehouses, data lakes, and real-time streaming pipelines.
Collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.
Ensure data quality, consistency, and security across systems.
Work with structured and unstructured data from multiple sources.
Optimize query performance and system scalability.
Implement data governance, compliance, and best practices for data management.
Monitor and troubleshoot data workflows to ensure high availability.

Required Skills

Strong experience with SQL and relational databases.
Hands-on expertise in Python, Scala, or Java for data engineering tasks.
Proficiency with big data tools (Hadoop, Spark, Hive, Kafka).
Knowledge of cloud platforms (AWS, Azure, or GCP) and their data services (e.g., Redshift, BigQuery, Synapse).
Experience with data modeling, warehousing (Snowflake, Redshift, Databricks, etc.).
Familiarity with ETL tools (Informatica, Talend, Apache Airflow, DBT, etc.).
Strong understanding of data structures, algorithms, and distributed systems.

Skills required for Data Engineer

Additional Information

Job Type:	IT Job
Work Authorization:	Valid Work Visa , US Citizen, Green Card, EAD / TN, H4, STEM
Employment:	W2-Permanent, Contract to Hire, Work from home, Full Time, Hybrid
Functional Area:	IT Software
No. of Job Openings:	15
Company Address:	Washington, D.C., USA
Job Location:	Washington, DC
Gender:	Any
Qualification:	Graduate
Industry:	IT Software / Services
Language:	English