Responsibilities Kforce has a client that is seeking a Senior Data Engineer in Irving, TX. Summary: We are currently looking for a Senior Data Engineer to join our team and work with our Engineering, Product, Support, and Customer Success teams and have the responsibility to keep our platform and services working at full steam. For this role, you'll need to have a good knowledge of how each team works and how they interact with one another. Duties: • Senior Data Engineer will design and build scalable real-time and batch data pipelines to support store operations, including POS transactions, inventory updates, and device logs • Lead integration of store systems (handheld devices, IoT sensors, store APIs) with centralized cloud-based data platforms • Develop efficient MongoDB schemas and queries to support transactional and analytical workloads • Ensure data reliability, observability, and latency optimization across all processing stages • Implement and maintain infrastructure-as-code, CI/CD pipelines, and automated deployment workflows • As a Senior Data Engineer, you will work collaboratively with cross-functional teams in engineering, product, store operations, and analytics to define data requirements and deliver scalable solutions • Establish and enforce data governance, access control, and compliance aligned with internal security policies and industry regulations (e.g., PCI-DSS) • Mentor junior engineers and contribute to architectural reviews, standards, and technical roadmaps Requirements • Bachelor's or Master's degree in Computer Science, Engineering, or a related field • 6+ years of experience in data engineering, preferably in the retail or logistics domain • 4+ years of experience in building data workflows and big data systems • 4+ years of experience in any relational database (Oracle/Postgres) • 4+ years of experience in any cloud services (AWS, Azure, GCP) • Must have 4+ years of experience in spark framework-based data pipeline development • Must have 2+ years in Azure cloud and databricks setup • 2+ years of experience in any NoSQL databases (Cassandra/MongoDB/DynamoDB) • Strong hands-on experience with AWS services, particularly Lambda, Kinesis, Glue, S3, Step Functions, CloudWatch, and IAM, to build and manage scalable, cloud-native data pipelines • Hands-on experience with SQL technologies • Must have experience with messaging Technologies like Kafka or Rabbit MQ • Experience designing and operating production-grade data pipelines on AWS • Experience integrating with external systems and services using RESTful APIs and gRPC protocols • Experience in orchestrating workflows using Apache Airflow or AWS MWAA, as well as event-driven state machines with Step Functions • Knowledge of containerization and infrastructure automation using Docker, Terraform, and GitHub Actions as part of CI/CD workflows • Strong background in monitoring and observability using tools like CloudWatch, Datadog, or Prometheus/Grafana • Solid understanding of cloud security and compliance, with working knowledge of IAM policies, CloudTrail auditing, and encryption standards for data at rest and in transit • Must have exposure to API development • Proficiency in using Amazon S3 as a central data lake and Apache Spark (via EMR or Glue) for distributed data processing at scale • Advanced programming skills in Python, with the ability to develop robust and reusable ETL components The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. 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