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Director Data Engineering Jobs in Paramount, CA (NOW HIRING)

Ready to be a Titan? We're seeking a Director of Data Science for Operations to lead data science ... You'll partner with operations, finance, product, and engineering leadership to turn complex data ...

Data and Analytics Job Subfunction: Data Science and AI The Data Science team is pivotal in the ... programming language skills (SQL, Python, R, etc) Experienced in machine learning techniques ...

Data and Analytics Job Subfunction: Data Science and AI The Data Science team is pivotal in the ... programming language skills (SQL, Python, R, etc) Experienced in machine learning techniques ...

Senior Manager, Data Engineering

Los Angeles, CA · On-site

$114K - $155K/yr

Bring your VIBE: * 10+ years of data engineering experience, with 3+ years in a leadership role and direct ownership of ecommerce, digital commerce, DTC, retail, or marketplace data domains. * Deep ...

Senior Manager, Data Engineering

Santa Monica, CA · On-site

$119K - $161K/yr

Bring your VIBE: * 10+ years of data engineering experience, with 3+ years in a leadership role and direct ownership of ecommerce, digital commerce, DTC, retail, or marketplace data domains. * Deep ...

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of ... Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ...

As Director of Engineering, Data, you will build and lead our unified Data & AI engineering function. You will own the platforms, pipelines, quality standards, and operating discipline that power AI ...

As Director of Engineering, Data, you will build and lead our unified Data & AI engineering function. You will own the platforms, pipelines, quality standards, and operating discipline that power AI ...

As Director of Engineering, Data, you will build and lead our unified Data & AI engineering function. You will own the platforms, pipelines, quality standards, and operating discipline that power AI ...

As the Director, Enterprise Data, you'll set the technical direction for the team, architect the data platform, own the AI strategy, and mentor engineers while ensuring compliance with security ...

Hands-on technical leadership across the Data Engineering organization through direct contribution, design reviews, and mentoring * The evolution of Data Engineering toward a more AI-first way of ...

Showing results 21-40

Director Data Engineering information

See Paramount, CA salary details

$76.9K

$205.2K

$267.6K

How much do director data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director data engineering in Paramount, CA is $205,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,100.00 and $266,600.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What are the most commonly searched types of Data Engineering jobs in Paramount, CA?

The most popular types of Data Engineering jobs in Paramount, CA are:

What cities near Paramount, CA are hiring for Director Data Engineering jobs?

Cities near Paramount, CA with the most Director Data Engineering job openings:

Infographic showing various Director Data Engineering job openings in Paramount, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $205,164 per year, or $98.6 per hour.

Director, Data Science

ServiceTitan

Glendale, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Ready to be a Titan?
We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and the post-sales product experience. You'll partner with operations, finance, product, and engineering leadership to turn complex data into intelligent systems, decisions, and measurable impact-spanning internal operational efficiency and customer-facing AI products like support agents and onboarding. This is a player-coach leadership role: you'll set technical direction, build and develop a team, and own outcomes across both internal operations and in-product intelligence. This role has significant latitude to work on and invent new high ROI projects- the only limit is your creativity.
What You'll Do
  • Own the data science and applied AI roadmap for operations-agentic systems, forecasting, lead scoring, voice of the customer aggregation, and decision-support that improve throughput, reliability, and unit economics. Build agents and AI workflows that don't just predict but act.
  • Own the data science and AI behind post-sales product experiences, including the support agent, onboarding intelligence, and customer success automation-from design through production deployment, evaluation, and quality monitoring.
  • Lead, hire, and develop a data science team executing on operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
  • Partner with operations, finance, and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
  • Drive the full lifecycle from problem definition through deployment and monitoring, ensuring systems hold up in production-whether powering an internal forecast, an autonomous workflow, or a live customer interaction.
  • Establish metrics and evaluation frameworks connecting this work to operational, financial, and customer outcomes (e.g., deflection, resolution quality, time-to-value, retention), including rigorous evaluation of non-deterministic AI systems.
  • Collaborate with data engineering, machine learning engineering, platform, and product teams on the infrastructure, data quality, orchestration, tooling, and guardrails these systems depend on.
  • Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
  • Champion an AI/agent-first way of working within the team-both as a hands-on technical leader (e.g., Claude Code) and by inventing agentic systems that make the team faster.

What You'll Bring
  • 8+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
  • Demonstrated track record deploying systems that delivered measurable impact-across both internal operational decisions and customer-facing AI features.
  • Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration (e.g., tool use, MCP), retrieval, and the evaluation practices these require.
  • Experience building or owning production AI systems-agents, conversational systems, or autonomous workflows-and the eval, monitoring, and safety practices they demand.
  • Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM/agent deployment pipelines).
  • Proven ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
  • Comfort operating in a fast-moving, data-rich environment where decisions carry real operational, cost, and customer-experience consequences.

Nice to Have
  • Background in B2B SaaS, marketplaces, logistics, or field operations.
  • Familiarity with customer success, onboarding, or support operations as a domain.

Be Human With Us:
Being human isn't about checking every box on a list. It's about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we're solving. We're in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you're not just accepting a job. You're making a career move. Here's how we'll support you in doing some of the most impactful work of your career:
  • Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
  • Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
  • Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.

At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation, which may change over time. We comply with all applicable minimum wage laws. For candidates in the United States, the good faith salary ranges estimate for this role isZone 1: $263,800 USD - $395,600 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WAZone 2: $246,500 USD - $369,700 USD Applicable for: All other US locations.International Compensation for candidates residing outside the United States will vary by location and will be discussed during the hiring process. Actual compensation within a range is determined by factors including relevant experience, skill set, qualifications, and performance. In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.