Data Engineer

Job Title: Senior Data Engineer

Location: Dallas, TX (Hybrid – 3 Days Onsite)

Contract Details

• Employment Type: Contract
• Duration: 12+ Months (Possible Extension)

Job Summary

We are seeking a highly experienced Senior Data Engineer with 8+ years of experience in designing, developing, and maintaining enterprise-scale data solutions. The ideal candidate will possess strong expertise in building scalable ETL/ELT pipelines, cloud-based data platforms, data warehousing, and big data technologies. The candidate will work closely with business stakeholders, data scientists, analysts, and application teams to deliver reliable and high-performance data solutions supporting analytics, reporting, and AI/ML initiatives.

The successful candidate should have hands-on experience with cloud platforms, distributed data processing frameworks, real-time data streaming, and modern data lakehouse architectures.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize data ingestion frameworks for structured and unstructured data.
• Develop and support enterprise data warehouse and data lake solutions.
• Create and maintain batch and real-time data processing workflows.
• Implement data quality checks, monitoring, and alerting mechanisms.
• Collaborate with business users, analysts, and architects to gather data requirements.
• Optimize SQL queries and improve data processing performance.
• Integrate data from various sources including APIs, databases, flat files, and streaming platforms.
• Support cloud migration and modernization initiatives.
• Implement data governance, security, and compliance standards.
• Troubleshoot production issues and perform root cause analysis.
• Participate in code reviews and mentor junior team members.
• Work closely with DevOps teams to implement CI/CD practices for data pipelines.

Must-Have Skills

• 8+ years of Data Engineering experience.
• Strong programming experience in Python and SQL.
• Hands-on experience with Apache Spark / PySpark.
• Experience building ETL/ELT pipelines using Airflow, Azure Data Factory, or AWS Glue.
• Strong experience with Snowflake, Redshift, BigQuery, or Synapse Analytics.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Apache Kafka and real-time data streaming.
• Experience with Databricks and Delta Lake.
• Strong understanding of Data Warehousing and Data Modeling concepts.
• Experience with Git, CI/CD, and DevOps practices.
• Strong troubleshooting and performance tuning skills.
• Excellent communication and stakeholder management skills.

Nice-to-Have Skills

• dbt
• Terraform
• Kubernetes
• Apache Iceberg
• Apache Flink
• MLOps
• AI/ML Data Pipelines
• Data Governance Tools
• Great Expectations
• Confluent Kafka

Required Education

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• Master's Degree is preferred but not required.

Pay: $125,379.13 - $159,789.92 per year

Work Location: In person