Data Engineer II
About The Position
TEKsystems Global Services is seeking an intermediate-level Data Engineer to develop and maintain modern, scalable data platforms. The role focuses on cloud data engineering, data integration, distributed processing, orchestration, and DataOps practices. The engineer will develop production-grade ETL solutions that process structured, semi-structured, and unstructured data, and will help deliver high-performance cloud-native data solutions under the guidance of architects and team leaders. Snowflake and Matillion experience is preferred but not required. The position works with customers, architects, leads, and other stakeholders to gather requirements, select appropriate technologies, and implement data management and analytics solutions. Solutions may support data lakes, data warehouses, or analytics workloads in on-premises or cloud-native architectures. The role is permanent and hybrid in Hanover, Maryland.
Requirements
- Bachelor’s degree in computer science, engineering, or a related field.
- 3–5 years of experience in data engineering, developing production-grade data ingestion, transformation, and orchestration solutions.
- Strong proficiency in SQL and Python.
- Hands-on experience building data pipelines.
- Experience working with structured, semi-structured, and unstructured data sources.
- Strong hands-on capability in at least one of the listed platform areas: AWS data engineering, Azure data engineering, GCP data engineering, Snowflake, Matillion, Databricks, or Informatica/IICS.
- Curiosity and a growth mindset, meticulousness, strong problem-solving ability, and excellent verbal and written communication skills.
- Interest in staying current with cloud and AI/ML technologies and evaluating and adopting emerging tools and methodologies.
Nice To Haves
- PySpark proficiency.
- Experience with Snowflake and Matillion.
- Matillion ETL Foundations Certification.
- Matillion Data Productivity Cloud Foundations Certification.
- SnowPro Core Certification.
- SnowPro Advanced: Data Engineer certification.
- Good understanding of data modeling, including Star and Snowflake schemas, and performance tuning.
Responsibilities
- Participate in customer requirement gathering, solution ideation, and implementation under the guidance of an architect or lead.
- Collaborate with architects, leads, and stakeholders to identify appropriate tools and technologies and implement data management solutions.
- Develop scalable data ingestion, transformation, and orchestration pipelines for data lake, data warehouse, and analytics solutions in on-premises or cloud-native architectures.
- Build data management and analytics solutions in accordance with applicable information security, quality control, governance, and maintenance standards.
- Comply with internal and project-specific operational, compliance, and governance processes.
- Implement CI/CD pipelines for data and analytics workloads.
Benefits
- Medical, dental, and vision coverage.
- Critical illness, accident, and hospital coverage.
- 401(k) retirement plan with pre-tax and Roth post-tax contributions.
- Voluntary life insurance and AD&D coverage for employees and dependents.
- Short- and long-term disability coverage.
- Health Spending Account (HSA).
- Transportation benefits.
- Employee Assistance Program.
- Paid time off, vacation, or sick leave.
- Potential additional earnings through incentive programs such as annual bonuses and profit sharing.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
