Who We Are

Left Field Labs is the creative technology agency that builds what’s next. We partner with the world’s most ambitious brands to transform breakthrough technology into extraordinary human experiences. Since 2008, we’ve delivered end-to-end digital transformation services—from strategy to platform development to immersive experiences—for the biggest companies in the world, including Google, Amazon, and Meta.

What We Do

• Digital Experience: We architect seamless digital ecosystems that simplify complexity and drive measurable impact. Whether launching new platforms or evolving legacy systems, we strike the perfect balance between innovation and pragmatism
• Product Innovation: We build scalable platforms and products in lockstep with organizations, identifying and seizing new technology opportunities.
• Immersive: We create immersive, cross-media experiences that move beyond omnichannel thinking, blending digital, social, AI, and physical spaces to engage and delight.
• Applied AI: We transform AI from a tech tool to the infrastructure for business evolution—enhancing decision-making, unlocking new efficiencies, and expanding human capacity  Our AI solutions power predictive intelligence, sharper decision-making, and game-changing innovation.

Minimum Qualifications

• 3+ years of experience in SQL, including proficiency in writing complex queries, optimizing query performance, and designing relational databases. Familiarity with indexing, stored procedures, and SQL functions is expected.
• 3+ years of development experience in at least one systems programming language (e.g., Go, Python, Java, Scala).
• Bachelor’s degree in Computer Science, Math, Physics, or a related field, or equivalent years of experience in a relevant field.

Preferred Qualifications

• Background in data architecture and warehousing technologies.
• Expertise in ETL processes and data application development.
• Experience leading a technical team in data or software engineering projects.
• Data analysis and reporting experience.
• Proficiency with GraphQL for data querying and integration.
• Ability to set up and maintain continuous integration and continuous deployment (CI/CD) pipelines to streamline development workflows.
• Familiarity with version control systems like Git or Mercurial.

What You’ll Do

• Develop data pipelines that comply with privacy and governance principles.
• Design and build data consumption portals, continuously enhancing them to adapt to evolving needs.
• Assume responsibility for the quality and integrity of data in all supported projects.
• Engage with stakeholders across engineering, legal, sales, marketing, strategy, and governance for dashboard and system development.
• Troubleshoot and support user issues related to dashboards and data systems.

Left Field Labs is an equal opportunity employer committed to providing equal employment opportunities to all applicants and team members, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. This includes the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance related to an applicant's criminal history (LAMC 189.00). Left Field Labs makes reasonable accommodations for handicapped and disabled team members.

Left Field Labs is also an E-Verify employer. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA), allowing participating employers to electronically verify the employment eligibility of their newly hired employees in the United States.

The salary range for this role is $125,000 to $140,000 and applies only to jobs performed in Culver City, California. This range represents the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. Please note that we may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s position within the salary range will be based on several factors, including but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

What You Need to be Successful

• Experience in building data pipelines for reporting and integrations.
• Expertise in distributed databases and handling data migrations.
• Proficiency with APIs (e.g., JSON, GraphQL).
• Solid understanding of data structures and optimization techniques.
• Ability to prioritize requests from multiple stakeholders across projects.
• Strong communication skills for explaining complex technical topics to non-technical stakeholders.
• Analytical skills for data troubleshooting and basic quality checks.