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Sql Developer Data Engineer Jobs in Santa Cruz, CA

Comtech, LLC

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.). * Work closely with our engineering team to integrate and build algorithms

Deloitte

Data Engineer II

San Jose, CA · On-site

$134K - $161K/yr

Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code. * Ability ... SQL and Python, including Snowflake and/or PySpark for scalable data processing and ELT. * 4+ years ...

Roku

Senior Data Engineer

San Jose, CA · On-site

$148K - $361K/yr

Data Engineering works closely with business partners and Engineering teams to collect metrics on ... Extensive SQL skills with the ability to write complex, optimized queries * Proficiency in at least ...

Archer

Staff Data Engineer

San Jose, CA · On-site

$17K - $215K/yr

Strong SQL skills; experience with StarRocks for large-scale analytical queries and real-time ... means Data Engineers here get the kind of ownership that usually only exists at startups. If you ...

SpaceXAI

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

You will ensure engineering teams get the right data they need-high-quality tasks and evaluations ... Experience in SQL or other data analysis tools ADDITIONAL REQUIREMENTS: * Weekend work may be ...

Roku

Senior Data Engineer

San Jose, CA · On-site

$148K - $361K/yr

... Extensive SQL skills with the ability to write complex, optimized queries * p]:inline" data ... as developers, analysts, and operations to deliver results * p]:inline" data-streamdown="list-item ...

Walmart

(USA) Staff, Data Engineer

San Jose, CA · On-site

$143K - $286K/yr

Strong proficiency in Python, SQL, and ETL frameworks for data transformation and integration ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

SpaceXAI

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

Our team is small, highly motivated, and focused on engineering excellence. This organization is ... Experience in SQL or other data analysis tools ADDITIONAL REQUIREMENTS: * Weekend work may be ...

SpaceXAI

Human Data - Engineer

Palo Alto, CA

$144K - $270K/yr

Our team is small, highly motivated, and focused on engineering excellence. This organization is ... Experience in SQL or other data analysis tools ADDITIONAL REQUIREMENTS: * Weekend work may be ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Cloud Data Engineer This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud ...

TabaPay

Data Engineer

Palo Alto, CA · On-site

$130K/yr

If you are a data engineer who builds durable data systems with long-term scalability in mind, we want to hear from you. * Focus on solving problems using the simplest possible architecture. * self ...

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All JobsSql Developer Data Engineer JobsSql Developer Data Engineer Jobs in Santa Cruz, CA

Sql Developer Data Engineer information

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How much do sql developer data engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for sql developer data engineer in Santa Cruz, CA is $60.73, according to ZipRecruiter salary data. Most workers in this role earn between $50.24 and $68.85 per hour, depending on experience, location, and employer.

What is a SQL developer data engineer?

SQL Developer Data Engineers are technology professionals who design, develop, and maintain databases and data pipelines using SQL and related tools. They are responsible for extracting, transforming, and loading (ETL) data to ensure it is accessible, reliable, and optimized for analysis and reporting. These engineers collaborate with other IT and business teams to support data-driven decision-making, improve data quality, and implement data security measures. Their work is crucial for organizations that rely on large amounts of data for their operations and analytics.

How do SQL developer data engineers typically collaborate with data analysts and other stakeholders within a company?

SQL Developer Data Engineers frequently work closely with data analysts, business intelligence teams, and other stakeholders to ensure data is accessible, reliable, and optimized for analysis. They are responsible for designing and maintaining the data infrastructure, writing complex queries, and translating business requirements into technical solutions. Regular meetings and clear communication are essential, as they often need to explain technical concepts to non-technical team members and incorporate feedback to refine data models or reporting systems. This collaborative environment enables efficient data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as an SQL developer data engineer, and why are they important?

To thrive as an SQL Developer/Data Engineer, you need strong proficiency in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools, data warehousing solutions, and platforms like Microsoft SQL Server, Oracle, or cloud-based databases, as well as certifications such as Microsoft Certified: Azure Data Engineer Associate, are often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and translating business requirements into technical solutions. These skills and qualities enable efficient data management, reliable data pipelines, and actionable insights that drive business decisions.

What is the difference between Sql Developer Data Engineer vs Data Analyst?

AspectSql Developer Data EngineerData Analyst
Required SkillsSQL, ETL, data modeling, programming (Python, Java)Data visualization, statistical analysis, SQL
CertificationsSQL certifications, cloud platform certificationsData analysis or visualization certifications
Work EnvironmentData pipelines, database management, cloud platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

The Sql Developer Data Engineer focuses on building and maintaining data pipelines, databases, and infrastructure, often working with large-scale data systems. Data Analysts interpret data, create reports, and provide insights for decision-making. While both roles require SQL skills, Data Engineers typically have more programming and system architecture responsibilities, whereas Data Analysts focus on data interpretation and visualization.

What job categories do people searching Sql Developer Data Engineer jobs in Santa Cruz, CA look for?

The top searched job categories for Sql Developer Data Engineer jobs in Santa Cruz, CA are:

What cities near Santa Cruz, CA are hiring for Sql Developer Data Engineer jobs?

Cities near Santa Cruz, CA with the most Sql Developer Data Engineer job openings:

Sql Developer Data Engineer jobs near you
Infographic showing various Sql Developer Data Engineer job openings in Santa Cruz, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Data Engineer - Flight Data (contract)

Pivotal

Palo Alto, CA • On-site

$60 - $70/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 21 days ago

Job description

Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. We design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly aircraft the world's first light eVTOL to fly manned missions and enter the consumer market.
Efficient, compact, and simple, Pivotal aircraft are designed for a wide range of consumer, public service, and defense applications. Our distinctive tilt-aircraft architecture and scalable platform have been flying for over 10 years. Last year we announced our next-generation aircraft, the Helix, which is rapidly progressing toward general release and scalable production in 2026.
Mobility is one of the most highly-valued areas of modern technology investments. This is the right company, in the right space, the right strategy, at the right time. If you are ready for adventure, we invite you to join our amazing team and grow with us.
Pivotal is seeking a Data Engineer to build and operate the flight data warehouse - the system of record for telemetry off every aircraft in the fleet. Flight logs land continuously from customer and test aircraft; you will turn them into curated datasets, automated fleet health alerts, and dashboards that the firmware, GNC, battery, flight operations, and MRO teams rely on to make airworthiness and design decisions. This is a small team building production infrastructure, so you will own pipelines end to end: the data model, the services that run on it, the infrastructure as code that deploys them, and the monitoring that tells us when they break.
Responsibilities
  • Pipeline development: Build and maintain the ingest and transformation pipelines that land aircraft telemetry from S3 into the flight data warehouse (AWS Glue, Athena), including schema evolution as firmware logging changes.
  • Data modeling: Design and maintain curated marts - flight runs, component flight hours, vehicle modes, battery flight features - in SQL, with clear grain, documented lineage, and idempotent incremental refresh.
  • Fleet alerting services: Develop and operate the Python services that evaluate flight-by-flight health checks and deliver alerts to engineering and customer-facing channels via SNS and Slack.
  • Data quality: Own the automated quality gates - mart freshness, source-to-mart reconciliation, and watermark integrity - and block deploys that would publish incorrect fleet data.
  • Analytics enablement: Build the dashboards and query interfaces engineering teams use to monitor the fleet, and convert repeated one-off analyses into supported datasets.
  • Collaboration: Work directly with firmware, GNC, battery, systems engineering, flight operations, and MRO to define what gets logged, what gets alerted on, and what "good" looks like for each signal.

Qualifications
  • Bachelor's degree in Computer Science, Computer/Electrical Engineering, or a related technical discipline
  • 3+ years of professional data engineering experience building and operating production pipelines
  • Strong SQL, including window functions and query tuning on a distributed, columnar engine (Athena/Trino/Presto, Spark, Snowflake, or BigQuery)
  • Proficient in Python for production services - not just notebooks: packaging, dependency management, unit tests, and code review
  • Hands-on experience with the AWS data stack: S3, Glue, Athena, Lambda, SNS, CloudWatch, and IAM
  • Dimensional modeling and warehouse design, including partitioning strategy for large tables
  • Excellent analytical and written communication skills, with the ability to work across multidisciplinary teams

Preferred Qualifications
  • 5+ years of relevant data engineering experience, including ownership of an on-call or operationally critical data system
  • Infrastructure as code with Terraform, and building deployment pipelines in GitLab CI or equivalent
  • Transformation frameworks such as dbt, and data quality/testing frameworks
  • High-volume time-series or sensor telemetry, and observability tooling (Grafana, CloudWatch, or similar), including alert design that avoids alarm fatigue

Familiarity/experience with one or more of the following:
  • Aerospace, automotive, or robotics telemetry and flight/vehicle test data
  • Embedded logging formats and decoding raw device logs (CAN, serial, or proprietary binary packet formats)
  • FAA aircraft certification or continued airworthiness processes
  • Interest in RC planes, quadcopters, or aviation

Attributes aligned with Core Values
  • Safety Above All: Demonstrates a proactive safety mindset by embedding safety into daily work, identifying and mitigating risks, encouraging open dialogue about safety concerns, and continuously improving practices and protocols.
  • Customer Focus: Puts customers at the center of every action by understanding their challenges, delivering meaningful value, and supporting their success.
  • Work Better Together: Seeks and values diverse perspectives, builds cross-functional relationships, and fosters trust through empathetic, fact-based communication and commitment to shared decisions.
  • Be the Pilot: Drives results with clarity and purpose by focusing on what matters most, adapting to change, taking initiative, and owning outcomes.
  • Embrace the Unknown: Navigates ambiguity with resilience and bold thinking, challenges the status quo, and combines innovative ideas with practical approaches to overcome obstacles and drive progress.
  • Respect for People: Fosters a high-performance culture grounded in respect, professionalism, and support by balancing high expectations with a healthy, collaborative environment and being a trusted, dependable teammate.

$60 - $70 an hour
Applicants must be eligible for employment in the United States and willing to work onsite at our HQ office in Palo Alto, CA.
Pivotal offers a comprehensive benefits package, including medical, dental, vision, and 401k plans.
Pivotal is an Equal Opportunity Employer. Pivotal does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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