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Data Optimisation Jobs in California (NOW HIRING)

Sr. Data Engineer

Sacramento, CA · On-site

$124K - $149K/yr

Enterprise Analytics & Reporting, Cloud Migration & Server Administration, SAP Enterprise Support, Protocol & Data Optimization, Global Study & Contract Analytics Professional Certification * Tableau ...

Senior Application Data Engineer

Los Angeles, CA · On-site

$114K - $155K/yr

... optimization, ensure data integrity and accuracy. • Evaluate and make decisions regarding competing data design tradeoffs. • Advocate, defend and convert other engineering leaders to your own ...

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Data partitioning, file size tuning, and optimization strategies for large-scale pipelines. * Experience handling multi-terabyte structured time‑series workloads. * Ability to distill architectural ...

Lead data architecture designs, drive data optimization, ensure data integrity and accuracy. * Evaluate and make decisions regarding competing data design tradeoffs. * Advocate, defend and convert ...

Within the Data Operations organization, the Capacity Planning & Analytics team provides ... You will translate behavioral insights and empirical findings into optimized project structures and ...

Within the Data Operations organization, the Capacity Planning & Analytics team provides ... You will translate behavioral insights and empirical findings into optimized project structures and ...

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

... data scientist. Federato is a venture backed company funded by some of the most prominent VC's in ... We build software to help large insurance carriers improve their portfolio optimization. Our goal ...

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

... data scientist. Federato is a venture backed company funded by some of the most prominent VC's in ... We build software to help large insurance carriers improve their portfolio optimization. Our goal ...

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Data Optimisation information

What are the most common challenges faced in a Data Optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and many successful data scientists start or transition into the role later in their careers. Skills in programming, statistics, and tools like Python or R are more important than age, and continuous learning can help overcome any age-related concerns.

What are the key skills and qualifications needed to thrive as a Data Optimisation Specialist, and why are they important?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data management, analytics, and programming, along with leadership responsibilities.

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are data optimization jobs?

Data optimization jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and system performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, and may include tasks such as data cleaning, indexing, and implementing data storage strategies.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI currently cannot fully replicate.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are popular job titles related to Data Optimisation jobs in California? For Data Optimisation jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Optimisation jobs in California look for? The top searched job categories for Data Optimisation jobs in California are:
Infographic showing various Data Optimisation job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Data Engineer

ITC Infotech (USA), Inc

Sacramento, CA • On-site

$124K - $149K/yr

Other

Posted 9 days ago


Job description

About ITC Infotech:

ITC Infotech is a wholly owned subsidiary of ITC Limited, one of India's foremost private sector companies and a diversified conglomerate. The ITC Group, with a market capitalization of $65 billion, is globally recognized as a leader in sustainability. The group's vision is to achieve world-class performance and create growing value for both the Indian economy and its stakeholders. This vision is supported by core values such as Trusteeship, where professional managers hold the company in "trust" for its stakeholders; a strong Customer Focus; Respect for People; a commitment to Excellence; a pursuit of Innovation; and a strong Nation Orientation.

ITC Infotech's business philosophy is that business is at the center and technology is an enabler, as reflected in its tagline, "Business-friendly Solutions." The company offers a wide range of services and solutions across key business areas, including CIO Services (Automation, Digital Workplace, ERP), Digital Experience (Experience Transformation), and Product 4.0 (Product Lifecycle Management, Digital Manufacturing). In the last seven years, ITC Infotech has successfully doubled its revenue from $250 million to $500 million+ annually, with its EBIT improving from 8% to over 18%.

With this strong growth momentum, ITC Infotech is now embarking on its next journey, known as 'Next Orbit,' with the ambitious goal of reaching $1 billion in annual revenue within the next four years. The Americas region is a critical part of this charter and is expected to increase its contribution to total revenue from the current 35% to a range of 40% to 50%. Manufacturing is a key vertical for the group and ITC Infotech with BFSI, Retail, CPG, Travel, Transportation & Hospitality being others.

Role - Sr. Data Engineer

Location - Sacramento, CA

Start Date - Immediate

Duration - Long Term

Job Description:

A seasoned Data Analytics and BI professional with 6 8 years of experience, specializing in Tableau and Power BI for enterprise reporting and dashboard development. Skilled in Python, SQL, and cloud migration across platforms like Snowflake, SAP HANA, and Redshift, with strong expertise in server administration and user access governance. Certified in Tableau and Python for Analytics and experienced in exploring enterprise AI adoption through a GPTbased chatbot prototype, this candidate brings a blend of technical depth, innovation, and enterprise-scale analytics expertise.

  • Around 8 years of experience in Data Analytics & BI; specialized in Tableau & Power BI.
  • Strong expertise in dashboard development, cloud migration, server administration, and user access governance.
  • Tableau development and Site Administration initiatives across enterprise environments.
  • Hands-on experience in cloud migration from on-prem to cloud-based data platforms.
  • Developed AI chatbot prototype (GPT 3.0) to explore enterprise AI adoption opportunities.

Healthcare & Analytics: HealthRules Payer (HRP), QNXT, HEDIS, NCQA Measures, Claims & Enrollment Analytics, Enterprise Data Warehousing, Data Marts

Functional Knowledge

  • Enterprise Analytics & Reporting, Cloud Migration & Server Administration, SAP Enterprise Support, Protocol & Data Optimization, Global Study & Contract Analytics

Professional Certification

  • Tableau Developer Certification NTTDATA
  • Python for Analytics IBM

Professional Skills

  • Python, SQL
  • Power Automate
  • GPT 3.0-based AI Chatbot (Prototype)
  • Snowflake, SAP HANA, Redshift, Exasol
  • Oracle, SQL Server, Excel
  • Palantir Foundry
  • Agile, ServiceNow
  • Figma (UI/UX collaboration)
  • Tableau Site Administration

Education

  • Bachelor s of Engineering in Electronics and Telecomm or related fields.

ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC infotech is committed to providing veteran employment opportunities to our service men and women.