Data Engineer

About Trident
Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success.

Some of our recent awards include:

• Trailblazer Women Award 2025 by Consulate General of India in San Francisco
• Ranked as the #1 Women Owned Business Enterprise in the large category by IT-Serve.
• Received the Tech-Serve Excellence award.
• Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America
• Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022

Job Description – Data Engineer (AWS & Python Focus)

Location: Virginia(Onsite, Full-time – In-person Interview)

Key Responsibilities:

• AWS Expertise:

  • Design, implement, and optimize data solutions leveraging AWS services (EC2, S3, VPC, VPN, API Gateway, ECS, Lambda, Aurora, RDS, Route 53, ElasticSearch, Redis, Elasticache).

  • Apply AWS Well-Architected Framework principles to ensure operational excellence, reliability, performance efficiency, cost optimization, and security.

  • Review and validate architecture implementations to maintain compliance with AWS best practices.

• Data Engineering & Architecture:

  • Develop scalable data pipelines and ETL workflows using Python and AWS-native tools (Glue, Lambda, Step Functions).

  • Build and maintain Big Data solutions across cloud and hybrid environments.

  • Create and deliver proofs-of-concept for business needs using appropriate data sources and AWS technologies.

• Cloud Migration & Monitoring:

  • Lead and support workload migrations from on-premise to AWS cloud environments.

  • Implement monitoring frameworks using AWS CloudWatch, CloudTrail, and open-source tools to ensure system reliability and observability.

• Collaboration & Delivery:

  • Work in Agile/Scrum or Kanban teams to deliver high-quality data solutions.

  • Partner with product managers, architects, and cross-functional stakeholders to align solutions with business requirements.

  • Provide technical leadership in designing, developing, and maintaining cloud-native data engineering solutions.

Required Skills & Qualifications:

• Certification: AWS Certified Solutions Architect – Associate (preferred) or equivalent AWS certifications.

• Experience: 4–6+ years working with AWS cloud technologies and data engineering.

• Programming: Strong proficiency in Python for automation, data processing, and building scalable ETL pipelines.

• Cloud Data & Big Data Tools: Hands-on experience with AWS Glue, Athena, Redshift, Spark, or similar.

• Cloud Native Services: Proficiency in EC2, S3, VPC, ECS, Lambda, RDS, Aurora, ElasticSearch, and related AWS services.

• Monitoring: Experience with CloudWatch, CloudTrail, and/or open-source observability tools.

• Methodologies: Familiarity with Agile/SAFe methodologies and Kanban delivery models.

• Soft Skills: Strong stakeholder management, problem-solving ability, and ability to influence and drive results across teams.

All your information will be kept confidential according to EEO guidelines.