Data Engineer
Share
Job Location:
Frisco, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation information technology and services
Position: Data Engineer
Location: Atlanta GA & Frisco TX
Duration: 10 months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Description
Job Overview:
- We are seeking a Data Engineer to build and maintain the foundational data pipelines that power our Customer Data Platform (CDP) - the authoritative source of truth for customer data across the entire US adult population.
- This role focuses on developing reliable scalable pipelines that ingest transform and deliver high-quality customer data in near-real-time.
- You will ensure that every customer record flowing through CDP is complete accurate and available when downstream systems - personalization engines analytics AI/ML models and business intelligence - need it most.
- You will work within a modern Azure/Databricks ecosystem contributing directly to the data infrastructure that makes trusted timely customer profiles possible at massive scale.
Job Responsibilities
- Develop and maintain batch and streaming data pipelines using Azure Data Factory (ADF) Databricks and Spark that ingest customer data from dozens of source systems into CDP
- Build data ingestion frameworks from APIs event streams (Event Hub/Kafka) and enterprise databases - ensuring every customer touchpoint feeds into the unified profile
- Perform data transformation cleansing and enrichment using Python and Spark to maintain the accuracy and completeness that an authoritative source of truth demands
- Implement data validation and quality checks at every pipeline stage - catching anomalies duplicates and schema drift before they erode trust in customer profiles
- Work with ADLS Snowflake SQL Server and Cosmos DB to store and process customer data across bronze silver and gold layers
- Support data modeling and schema design under guidance from senior engineers ensuring alignment with CDPs unified customer profile standards
- Build curated data layers that serve analytics reporting personalization and AI/ML use cases with production-ready well-documented datasets
- Ensure data pipelines meet SLA requirements for timeliness - customer data must be current and available when contextual experiences demand it
- Support data pipelines used in identity resolution and AI/ML workflows by ensuring data readiness consistency and lineage traceability
- Participate in job orchestration (Control-M) CI/CD pipelines and monitoring - maintaining the operational discipline required for a platform serving the entire US adult population
- Troubleshoot pipeline failures and resolve production issues with urgency understanding that data delays directly impact customer experiences
- Contribute to documentation data dictionaries and team knowledge sharing to strengthen the platforms institutional knowledge
Education and Work Experience
- Bachelors degree in Computer Science Engineering or related field
- 3 years of experience in data engineering or related roles
- Experience working in cloud-based data platforms (Azure preferred)
- Experience with Agile development methodologies
Technical Skills
- Programming: Python (required) SQL basic Spark (PySpark)
- Azure stack: ADF ADLS Databricks (working knowledge)
- Databases: Snowflake SQL Server Cosmos DB (basic to intermediate)
- Solid understanding of ETL/ELT concepts and data pipeline design patterns
- Hands-on knowledge with APIs and data integration patterns for diverse source systems
- Experience with data quality checks logging monitoring and alerting
- Understanding of data lineage metadata management and how data supports downstream AI/ML workflows
- Knowledge of CI/CD and orchestration tools like Control-M
- Knowledge Skills and Abilities
- Strong analytical and problem-solving skills with attention to data accuracy
- Ability to work with large datasets and distributed systems at population scale
- Eagerness to learn and adapt to emerging AI and data technologies
- Understanding of why data quality and timeliness matter for customer-facing experiences
- Good collaboration and communication skills across engineering and business teams
TekWissen Group is an equal opportunity employer supporting workforce diversity.
