Chelsoft Solutions Co.
We are hiring Senior Full Stack Developer!
Role:
Developer-Full Stack Senior (Data Engineering Focus)
Supporting:
Large Financial Services Client
Location:
Onsite – McLean, VA
Position Description:
Are you a seasoned Full Stack Developer with a passion for data engineering and a knack for solving complex problems? Join a dynamic team driving enterprise-level data transformation initiatives. In this role, you’ll be instrumental in designing and building scalable ETL pipelines and data warehouse solutions using modern technologies like Python, PySpark, and Snowflake.
You’ll collaborate with a small, agile team of developers and a tech lead to migrate data from traditional databases to a cloud-based data warehouse, enabling powerful analytics and reporting capabilities. This is a high-impact role where your contributions will directly support strategic business decisions.
Qualifications
Bachelor’s in Computer Science or related field (Master’s preferred)
5+ years in data engineering, including Python, PySpark, SQL, and ETL tools like Informatica
Experience with Snowflake, MongoDB, PostgreSQL, and data modeling
Familiarity with APIs, JSON/XML, and integration technologies
Exposure to full stack development (Angular, Spring Boot, Selenium)
Strong grasp of data architecture, warehousing, and BI concepts
Self‑starter with strong analytical and problem‑solving skills
Quick learner who adapts to new tools and technologies
Detail‑oriented with excellent communication skills
Must-have skills: Python, PySpark, SQL; understanding of Agile practices
Nice-to-have: Snowflake and Informatica experience
Self‑motivated and results‑driven professional who thrives both independently and in team environments
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Role:
Developer-Full Stack Senior (Data Engineering Focus)
Supporting:
Large Financial Services Client
Location:
Onsite – McLean, VA
Position Description:
Are you a seasoned Full Stack Developer with a passion for data engineering and a knack for solving complex problems? Join a dynamic team driving enterprise-level data transformation initiatives. In this role, you’ll be instrumental in designing and building scalable ETL pipelines and data warehouse solutions using modern technologies like Python, PySpark, and Snowflake.
You’ll collaborate with a small, agile team of developers and a tech lead to migrate data from traditional databases to a cloud-based data warehouse, enabling powerful analytics and reporting capabilities. This is a high-impact role where your contributions will directly support strategic business decisions.
Qualifications
Bachelor’s in Computer Science or related field (Master’s preferred)
5+ years in data engineering, including Python, PySpark, SQL, and ETL tools like Informatica
Experience with Snowflake, MongoDB, PostgreSQL, and data modeling
Familiarity with APIs, JSON/XML, and integration technologies
Exposure to full stack development (Angular, Spring Boot, Selenium)
Strong grasp of data architecture, warehousing, and BI concepts
Self‑starter with strong analytical and problem‑solving skills
Quick learner who adapts to new tools and technologies
Detail‑oriented with excellent communication skills
Must-have skills: Python, PySpark, SQL; understanding of Agile practices
Nice-to-have: Snowflake and Informatica experience
Self‑motivated and results‑driven professional who thrives both independently and in team environments
#J-18808-Ljbffr