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# Data Engineer

- **Company:** APN Healthcare Solutions
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Airflow, Microsoft Azure, Big Data, Cloud Database, Information Systems, Customer Data Management, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Amazon DynamoDB, Python (Programming Language), MongoDB, NoSQL, Redis, SQL Databases, Data Streaming, Data Processing, Cloud Platform System, Data Ingestion, Snowflake, Data Lakes, Information Technology, Apache Flink, Cassandra, Apache Kafka, Spark Streaming, Stream Processing, Data Pipelines, Programming Languages
- **Published:** July 25, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=xljdnwfnkqhs5at7ayj3b8lz3qkfkz0066mhtjhu4qb6fj2x7o0cr2rdny2rrxkl&compid=0/jobs/31760659#/jobs/31760659

## About the Role

Bachelor's or master's degree in computer science, Information Systems, or related field
Hands-on experience with Snowflake cloud data platform, including data ingestion, transformation, and orchestration.
Strong background in building and maintaining data warehouse solutions on Snowflake.
Proficiency in SQL, Python, or other programming languages for data processing and automation
Experience with ETL/ELT tools, data pipeline development, and Apache Airflow workflow management
Proficiency in real-time data processing (Spark Streaming, Flink, Kafka Streams).
Experience with cloud data warehouses, Snowflake, and data lakes (Delta Lake, Iceberg)
Familiarity with NoSQL (MongoDB, Cassandra) and key-value stores (Redis, DynamoDB) is highly desirable.
Experience with batch & streaming pipelines (Kafka, Kinesis, Pub/Sub).
Experience with Azure cloud platforms, Azure Event Hubs and their integration with Snowflake
Understanding of marketing technologies, customer data platforms, and data integration challenges
Knowledge of data quality, data governance, and security practices in data engineering
Strong problem-solving skills and ability to optimize data processes for performance and scalability
Good communication and teamwork skills to collaborate with data architects, analysts, and marketing teams
Relevant certifications (e.g., Snowflake, Azure Cloud, and Big Data) are a plus

We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.



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