Data Engineer I
The Data Engineer I role at Confidential Client is an entry-level position focused on developing client data architecture and managing the Snowflake data platform within a regulated financial services environment. The role involves collaboration with cross-functional teams to deliver accurate, secure, and trusted data, providing a strong foundation for early-career engineers to grow in data engineering.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role overview
This is an entry-level, hands-on Data Engineer role on the Enterprise Data team for a confidential client in the IT sector. You will help develop data architecture and the Snowflake data platform, working with data architects, analysts, data scientists, software engineers, and business stakeholders to deliver accurate, secure, and trusted data. This role is a strong fit for an early-career engineer who wants to grow in data engineering within a regulated financial services environment.
What you’ll do
- Build, test, and maintain ETL/ELT pipelines to ingest, transform, and deliver data for analytics and reporting.
- Write, optimize, and maintain SQL for data extraction, transformation, and validation.
- Collaborate with data architects and cross-functional teams to implement data models and ensure data quality.
- Assist in designing and documenting data flows, schemas, and data lineage.
- Support platform onboarding and troubleshooting on cloud data platforms (Snowflake and others).
- Follow data security, governance, and compliance best practices for regulated environments.
- Learn new tools and technologies quickly and contribute to team knowledge sharing.
Required qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related field — or equivalent experience (internships, co-ops, projects count).
- 0–2 years of experience in data engineering, software development, database development, analytics, or related technical work.
- Hands-on SQL experience and familiarity with relational databases.
- Basic understanding of data structures, data integration, and data warehousing concepts.
- Familiarity with ETL/ELT fundamentals.
- Strong analytical, problem-solving, and troubleshooting skills with attention to data accuracy.
- Effective written and verbal communication; ability to work with technical and business stakeholders.
- U.S. work authorization without sponsorship.
Preferred qualifications
- Working knowledge of SQL and basic programming experience with Python, Java, or Scala.
- Exposure to Snowflake or other cloud data platforms (AWS/Azure/GCP).
- Familiarity with orchestration tools such as Apache Airflow.
- Basic knowledge of Git or other version control systems.
- Familiarity with Linux/Unix environments and REST APIs (JSON/XML).
- Understanding of data quality, data integrity, security, and governance principles.
- Experience with data modeling, dimensional modeling, or data warehousing.
- Completed academic or personal data project using SQL, Python, or another language.
- Entry-level certifications or coursework in cloud platforms, Snowflake, or data engineering.
- Exposure to insurance, financial services, or other regulated industries is a plus.
- Curiosity and demonstrated interest in building a career in data engineering.
Compensation (estimated)
- Estimated base: $106,346 per year (estimated figure provided by the source).
Note: This is an estimate from the source posting. Actual compensation offered by the confidential client may vary and will be shared during the interview/offer process where required by applicable state laws.
Location & employment type
- Job location: Bloomfield, PA (on-site or as specified by the confidential client)
- Employment type: Full-time
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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