Lead Backend Engineer

Responsibilities: Big Data Engineering & Technical Leadership Lead design, development, and delivery of solutions using distributed microservices and big data technologies (Hive, Presto, Spark, Hadoop) on AWS Serve as the technical authority for big data performance — diagnosing bottlenecks and guiding the team on complex system-level issues at scale.

Project Leadership & Impediment Resolution: Own end-to-end project delivery and proactively remove engineering impediments — technical, process-related, or cross-team. Translate business requirements into clear technical road maps and actionable work for the engineering team.

Team Mentorship & Engineering Excellence: Mentor engineers through code reviews, constructive feedback, and enforcement of engineering best practices. Partner with product, architecture, QA, and DevOps to deliver scalable solutions.

AI-Assisted Development: Champion adoption of AI tools (Kiro or similar) across the team throughout the full SDLC, setting the standard for responsible use: you do not merge what you cannot explain. Required

Skills: 5+ years with Hadoop, Spark, or Presto — internals, performance tuning, and optimization Proven experience with AWS EMR (Hive/Presto), ECS, Lambda, and S3 at scale Bachelor's degree in computer science, Engineering, or related field 10+ years of software engineering experience with demonstrated technical leadership. 3+ years in Java, JavaScript/TypeScript, or SQL; 2+ years building REST/web services. Proven record leading end-to-end project delivery and resolving team impediments. Experience mentoring engineers and elevating team-wide engineering standards. Proficiency with CI/CD pipelines (Jenkins, CloudFormation) and scripting (Unix Shell or Python) Hands-on experience with LLM-based coding tools (Kiro, GitHub Copilot, or similar) across the full SDLC, with the ability to lead the team in responsible AI-assisted development. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business.

Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at https://sgainc.com/ .SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.