Senior Data Engineer

Job Description: Title: Senior Data Engineer Locations: Hybrid - 91505 CA Duration: 10 Months Pay Range: $80-$85/hr. Job Responsibilities: Design & Build Scalable Data Pipelines · Lead development of batch and streaming pipelines using AWS-native tools (Glue, Lambda, Step Functions, Kinesis) and modern orchestration frameworks. · Implement best practices for monitoring, resilience, and cost optimization in high-scale pipelines. · Collaborate with architects to translate canonical and semantic data models into physical implementations. Enable Analytics & AI/ML Workflows · Build pipelines that deliver clean, well-structured data to analysts, BI tools, and ML pipelines. · Work with data scientists to enable feature engineering and deployment of ML models into production environments. Ensure Data Quality & Governance · Embed validation, lineage, and anomaly detection into pipelines. · Contribute to the enterprise data catalog and enforce schema alignment across pods. · Partner with governance teams to implement role-based access, tagging, and metadata standards. Mentor & Collaborate Across Pods · Guide junior data engineers, sharing best practices in pipeline design and coding standards. · Participate in pod ceremonies (backlog refinement, sprint reviews) and program-level architecture syncs. · Promote reusable services and reduce fragmentation by advocating platform-first approaches. Must Have Skills / Requirements · Experience in data engineering, with hands-on expertise in AWS services (Glue, Kinesis, Lambda, RDS, DynamoDB, S3) and orchestration tools (Airflow, Step Functions). 7+ years of experience. · Strong skills in SQL, Python, PySpark, and scripting for data transformations. 7+ years of experience. · Experience working with modern data platforms (Snowflake, Databricks, Redshift, Informatica). 7+ years of experience. Soft Skills: · Strong collaboration and mentoring skills; ability to influence across pods and domains. · Knowledge of data governance practices, including lineage, validation, and cataloging. Technology Requirements: · Strong skills in SQL, Python, PySpark, and scripting for data transformations. · hands-on expertise in AWS services (Glue, Kinesis, Lambda, RDS, DynamoDB, S3) and orchestration tools (Airflow, Step Functions). · Experience working with modern data platforms (Snowflake, Databricks, Redshift, Informatica). · Proven ability to optimize pipelines for both batch and streaming use cases. Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Job Type: Contract Pay: $80.00 - $85.00 per hour Expected hours: 40 per week Application Question(s): How many years of experience of hands-on expertise in AWS services do you have? Years of experience with SQL, Python, PySpark, and scripting for data transformations? Years of experience working with modern data platforms (Snowflake, Databricks, Redshift, Informatica)? Work Location: Hybrid remote in Burbank, CA 91505