Sacramento, CA

Data Jobs in Sacramento, CA

9 jobs found

Include remote jobs

1mo ago

Data Analyst - HMIS

Nelson Connects Sacramento, CA

Sacramento, CA

1mo ago Closed

$32 - $48/hr Full time Analyst Analytical Skills Analytics

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Nelson Connects is seeking a detail-oriented Data Analyst with HMIS experience for a hybrid Sacramento, CA role, offering compensation at USD 32-48 per hour.

Responsibilities

Examine large datasets to uncover trends, performance metrics, and actionable insights.
Create, maintain, and refine dashboards using Power BI, Tableau, or comparable visualization tools.
Produce recurring and ad hoc reports for senior leadership and stakeholders.
Respond to data requests with accurate, timely, and actionable information.
Monitor data quality, verify reporting accuracy, and resolve discrepancies.
Track key performance indicators (KPIs) and identify opportunities to streamline processes.
Collaborate with cross-functional teams to support reporting, planning, and business initiatives.
Present findings clearly for both technical and non-technical audiences.
Document reporting workflows, data definitions, and analytical methodologies.

Requirements

Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, or a related field (or equivalent experience).
2+ years of experience in data analysis, reporting, or business intelligence.
Advanced Microsoft Excel skills.
Experience with Power BI, Tableau, or other business intelligence tools.
Experience writing SQL queries and working with relational databases.
Strong analytical, problem-solving, and organizational skills.
Excellent communication skills and attention to detail.
Ability to manage multiple priorities in a fast-paced environment.

Technologies

Power BI
Tableau
SQL
Microsoft Excel

Benefits

medical
dental
vision
HSA
EAP
life/AD&D
short-term disability
401(k) retirement plan options
commuter benefits
paid sick leave where mandated
other state or locally required benefits

About Nelson Connects

For over 50 years, Nelson Connects has connected employers with job seekers, guided by a commitment to excellence, integrity, compassion, and innovation. Our purpose is your success.

Pay and benefits transparency is provided in postings in accordance with applicable pay transparency laws, with compensation ranges listed as a good faith estimate for the position and location. We are an equal opportunity employer and support accommodations for applicants as needed. If you require a reasonable accommodation, please contact us at peopleoperations@nelsonconnects.com.

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1mo ago

Project Lead Data Engineer III

Deloitte Sacramento, CA

Sacramento, CA

1mo ago Closed

$119k - $198k/yr Full time Data Data Engineer Data Platform

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

Deloitte is seeking a seasoned data engineering leader to drive Teradata initiatives in the Government & Public Services and AI/Data portfolios from our Sacramento office. In this Project Lead Data Engineer III role, you will steer Teradata administration and performance optimization while collaborating with cross-functional stakeholders to advance public sector data solutions.

Responsibilities

Oversee Teradata environments by administering servers, databases, partitions, tables, indexes, and storage constructs to ensure reliability and availability.
Tune SQL queries and optimize database performance to improve efficiency and responsiveness.
Oversee Teradata utilities such as BTEQ, load utilities, and workload management to support data processing operations.
Monitor system health, identify maintenance needs, and proactively execute upgrades, patches, and performance improvements.
Collaborate with cross-functional stakeholders to communicate system status, resolve issues, and provide updates on Teradata environment health.

Requirements

Bachelor's degree
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Must be able to obtain and maintain the required clearance for this role
8+ years of experience as a Teradata DBA with strong expertise in database administration and system management
2+ years experience with Teradata utilities (BTEQ, load management, query execution management) and user/database administration
2+ years experience with SQL skills with demonstrated experience in performance tuning and query optimization
Ability to travel 5-20%, on average, based on the work you do and the clients and industries/sectors you serve

Technologies

Teradata, BTEQ, Teradata load utilities, SQL, workload management tools, query execution management

Compensation and Location

Location: Sacramento, CA (onsite)

Salary: USD 119,000 - 198,400 per year

The Team

Deloitte's Government & Public Services (GPS) practice is designed for impact, delivering people, ideas, technology and outcomes. The GPS team serves federal, state, and local government clients as well as public higher education institutions, bringing fresh perspectives to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

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1mo ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Sacramento, CA 🇺🇸 Remote

Sacramento, CA

1mo ago Closed

Full time AI Ai Ml Amazon Bedrock

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

Senior GenAI Engineer / ML AI/Data Scientist role with 100% remote work and 10+ years of experience.

Responsibilities

Develop prototypes, PoCs, and MVPs for GenAI initiatives using Python and modern AI/ML tools, emphasizing multi-modal data and rapid validation of concepts.

Requirements

Location: Sacramento, CA (remote; 100% remote)
No H1B candidates: all other applicants may apply
Work status: Only W2 candidates
Experience: 10+ years
Technical proficiency: Python and tools including Hugging Face, Langchain, and OpenAI API
ML frameworks: TensorFlow, Keras, PyTorch
Platform familiarity: Google Model Garden, Amazon Bedrock, Nvidia Nim
Data and tooling: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated, collaborative, and innovative; passionate about solving hard AI and GenAI problems

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1mo ago

AWS AI Engineer

Hudson Manpower Sacramento, CA 🇺🇸 Remote

Sacramento, CA

1mo ago Closed

Full time AI Artificial Intelligence Automation

This position is no longer accepting applications (closed Aug 17, 2026).

Job Description

Senior AI AWS Engineer role based in Sacramento, CA (remote), focused on building retrieval-augmented generation (RAG) systems and production AI/ML services on AWS.

Responsibilities

Hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to design and operate AI solutions.
Lead the implementation of AWS cloud services across infrastructure, ML, and AI platform services.
Develop LLM-based applications, including Retrieval-Augmented Generation workflows using LangChain and other frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI/ML operations.
Create and maintain technical documentation for the team and internal customers.
Excellent verbal and written communication in English.

Requirements

Minimum 7 years of hands-on software engineering experience with a strong focus on Python.
Proficient with AWS services, notably Bedrock or SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and governance guardrails such as SCPs and AWS Config.
Proven track record implementing RAG architectures and LangChain.
IaC best practices and building Terraform modules for AWS.
Strong Git-based version control, code reviews, and DevOps workflows.
History of delivering production-ready software with integrated release pipelines.

Technologies

Python
Bedrock
SageMaker
Lambda
Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
GitHub
Hugging Face
Node.js
Terraform Sentinel

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Referral bonuses eligibility

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1mo ago

Sr. Data Scientist

Ledgent Technology Sacramento, CA

Sacramento, CA

1mo ago Closed

$55 - $72/hr Full time Senior Analytics Big Data

This position is no longer accepting applications (closed Aug 15, 2026).

Job Description

Ledgent Technology is actively seeking a Senior Data Scientist for an on-site role in Sacramento, California. The position centers on healthcare data modernization, analytics, dashboards, data validation, and EHR modernization, leveraging lakehouse and medallion architectures on AWS. The role offers collaboration with engineering, program leadership, and clinical operations to drive data-driven decision making.

Benefits

Competitive hourly pay ranging between $55.00 and $72.00 per hour, depending on experience and qualifications.

Position Overview

Ledgent Technology's client is seeking an analytical and independent Senior Data Scientist to join the California team. This role supports a significant data modernization effort within a healthcare environment, utilizing lakehouse and medallion architecture on AWS. The ideal candidate will collaborate with engineering, program leadership, and clinical operations to deliver advanced analytics, validate and reconcile complex datasets, and develop dashboards that inform strategic decisions.

Responsibilities

Create and maintain dashboards with Tableau or Power BI to deliver clear, actionable insights.
Develop and optimize complex SQL queries to analyze large-scale datasets.
Assist data ingestion, pipeline development, and performance monitoring within Databricks.
Conduct large-scale data validation and reconciliation across multiple systems.
Examine healthcare or program data to identify trends, anomalies, and opportunities.
Translate complex data structures into understandable insights for business and clinical stakeholders.
Collaborate with cross-functional teams including engineering, program leadership, and clinical operations.
Support data governance efforts to uphold data accuracy and consistency.
Document data flows across systems and understand data lineage.
Provide data-driven recommendations to inform strategic initiatives.
Offer analytics support for EHR modernization initiatives.

Requirements

Strong SQL skills with the ability to write complex queries.
Hands-on experience with Databricks and lakehouse or medallion architecture.
Experience with AWS or similar cloud platforms.
Practical dashboard development experience using Tableau or Power BI.
Experience building and monitoring data pipelines and ingestion processes.
Extensive experience with data validation and reconciliation at scale.
Ability to analyze large, complex datasets and derive meaningful insights.
Excellent communication skills to convey technical findings to non-technical audiences.

Technologies

Tableau
Power BI
SQL
Databricks
Lakehouse architecture
Medallion architecture
AWS

Work Hours

Monday to Friday

Preferred Qualifications

Experience with machine learning concepts or applied modeling.
Exposure to A/B testing or experimentation frameworks.
Experience with RDS or relational database systems.
Familiarity with DevOps practices.
Healthcare, patient data, or EHR experience.

Functional Skills

Strong understanding of data governance principles.
Ability to interpret ambiguous datasets and extract meaningful insights.
Clear understanding of data lineage and system data flows.
Ability to connect analytics to program outcomes and clinical operations.
Strong troubleshooting and data quality validation skills.

Soft Skills

Excellent communication and executive-level presentation skills.
Collaborative and effective across technical and non-technical teams.
Self-sufficient and able to work independently.
Analytical, solution-oriented mindset.
Comfortable working in fast-paced, complex environments.
Adaptable and calm when navigating ambiguity.

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1mo ago

Data Engineer

Deloitte Sacramento, CA

Sacramento, CA

1mo ago Closed

$98k - $163k/yr Full time Data Engineer Data Warehouse Database

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

Based in Sacramento and on site, this Data Engineer III role sits within Deloitte's AI & Engineering team, concentrating on Teradata database administration, performance optimization, and close collaboration across data operations and analytics initiatives. The position blends hands-on management of Teradata environments with cross-functional communication to keep systems reliable and analytics-ready. The compensation range for this role is USD 97,900 to 163,100 per year, and it requires a bachelor’s degree along with substantial Teradata DBA experience.

Responsibilities

Administer Teradata environments end to end, covering servers, databases, partitions, tables, indexes, and storage structures to ensure reliability and uptime.
Tune SQL queries and optimize performance to enhance overall database efficiency and responsiveness.
Oversee Teradata utilities such as BTEQ, load utilities, and workload management tools to support data processing tasks.
Monitor system health, plan maintenance, and proactively apply upgrades, patches, and performance improvements.
Engage with cross-functional stakeholders to report on Teradata health, troubleshoot issues, and provide timely updates.

Requirements

Bachelor's degree.
Authorized to work in the United States without employer sponsorship now or in the future.
Ability to obtain and maintain the necessary security clearance for the role.
8+ years of experience as a Teradata DBA with strong database administration and system management capabilities.
2+ years of experience with Teradata utilities (BTEQ, load management, query execution management) and user/database administration.
2+ years of SQL experience with proven performance tuning and query optimization skills.
Willingness to travel approximately 5-20% based on client needs and project requirements.
Ability to work independently and also collaborate effectively within a team.
Strong written and verbal communication abilities.
Attention to detail and a commitment to high-quality work products.
Capacity to build and maintain professional relationships.
Ability to lead projects or workstreams and manage multiple tasks in a fast-paced environment.
Solid interpersonal skills and professional demeanor.
Ability to meet deadlines and provide clear guidance to others.

Technologies

Teradata
BTEQ
Load Utilities
SQL

Benefits

Competitive benefits package for project delivery-focused professionals
Discretionary annual incentive program

The Team

Deloitte's Government & Public Services (GPS) practice emphasizes impact through people, ideas, technology, and outcomes. It serves federal, state, and local government clients as well as public higher education institutions. The team aims to help clients anticipate disruption, reimagine what's possible, and fulfill mission commitments. The AI and Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and analytics capabilities.

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2mo ago

Databricks Data Engineer

Deloitte Sacramento, CA

Sacramento, CA

2mo ago Closed

$87k - $171k/yr Full time Analytics Azure Databricks Big Data

This position is no longer accepting applications (closed Jul 29, 2026).

Job Description

Deloitte seeks a Databricks Data Engineer to join its Core AI & Data practice in Sacramento, onsite. The role centers on designing, building, and optimizing cloud-based data engineering solutions that enable large-scale transformations and data-driven decision making, with a focus on enterprise-scale Databricks implementations that boost performance for analytics and AI initiatives.

Job Details

Location: Sacramento, CA (onsite)
Salary: USD 86,700 - 170,900 per year
Minimum experience: 2 years
Education: Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics

Summary

The Databricks Data Engineer will contribute to Deloitte's Core AI & Data practice by designing, building, and optimizing cloud-based data pipelines and platforms. The role emphasizes implementing scalable Databricks solutions to improve platform performance and support analytics and AI use cases across client environments.

Responsibilities

Design, implement, and maintain data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL
Support modernization of enterprise data platforms through cloud-based ingestion, transformation, and storage patterns
Develop and sustain batch and streaming data workflows that enable reporting, analytics, and AI use cases
Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
3+ years of experience in data engineering, ETL development, or data platform engineering
2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and SQL
Experience implementing data models, data integration patterns, and cloud-based data processing workflows
Experience with at least one cloud platform: AWS, Azure, or GCP
Ability to travel 50 percent on average based on client engagement
Limited immigration sponsorship may be available

Technologies

Databricks, Apache Spark, Python, SQL
Delta Lake, Databricks Workflows, Unity Catalog
Git, CI/CD
AWS, Microsoft Azure, Google Cloud Platform (GCP)

The Team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and AI capabilities across the business.
The team collaborates with clients to architect, engineer, and deploy cloud-based data solutions that enhance decision-making, foster innovation, and support large-scale transformation.
Practitioners work across business and technology functions to address data modernization, governance, platform engineering, and insight delivery challenges.

Preferred

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Experience using Git-based version control and CI/CD pipelines
Experience supporting batch and streaming data workloads
Experience with data warehousing, lakehouse architecture, and performance optimization
Experience supporting analytics or machine learning data pipelines
Experience working in consulting or client service delivery environments

Accommodation Information

Applicants with a need for accommodation may review Deloitte's assistance for disabled applicants at the following URL: Join Deloitte assistance for disabled applicants.

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2mo ago

Data Analyst II

Sacramento Area Council of Governments Sacramento, CA

Sacramento, CA

2mo ago Closed

$7,482 - $9,095/mo Full time Analyst Analytics Data Analysis

2mo ago

Sr Databricks Data Engineer

Deloitte Sacramento, CA

Sacramento, CA

2mo ago Closed

$138k - $194k/yr Full time Autoloader Big Data Bigdata

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