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1mo ago

Snowflake Data/Analytics Engineer 1

Capgemini Sunnyvale, CA

Sunnyvale, CA

1mo ago Closed

$43 - $68/hr Contract Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Capgemini is seeking a hands-on Snowflake Data/Analytics Engineer 1 for an onsite contract in Sunnyvale, CA. The role centers on driving the complete analytics lifecycle, from ingesting data sources to delivering production-ready assets and semantic models for enterprise reporting, leveraging Snowflake, dbt, and Power BI. The position offers an hourly rate of USD 43 to 68 and a focus on building scalable data solutions for business insights.

Responsibilities

Data transformation: Develop and adapt dbt models within a Bronze-Silver-Gold layering framework to support robust analytics.
Semantic layer: Create and refine semantic models in Power BI and implement complex DAX measures for accurate insights.
Visualization: Design and enhance dashboards suitable for executive audiences using Power BI.
Operations & support: Oversee end-to-end project delivery from source ingestion to final reporting.
Troubleshooting: Identify root causes and resolve production issues and data quality problems across Snowflake, dbt, and Power BI.

Requirements

Snowflake data engineering: Strong hands-on experience designing pipelines, optimizing performance, and managing storage and compute within Snowflake.
dbt mastery: Proven ability to build and manage modular dbt models in production environments.
Power BI stack: Advanced proficiency in dashboards, semantic modeling, and DAX.
Versatility: Demonstrated ability to balance fresh projects with rapid, production-oriented support.

Technologies

Snowflake
dbt
Power BI
DAX

Benefits

Medical benefits
Dental benefits
Vision benefits
Retirement benefits

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1mo ago

Data Engineer, Product Analytics

Meta Menlo Park, CA

Menlo Park, CA

1mo ago Closed

$114k - $173k/yr Full time .NET Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Data Engineer, Product Analytics at Meta focuses on building data artifacts and visualizations to support product analytics across Meta's apps. The role collaborates with engineering, data science, and product management to design scalable data solutions with emphasis on privacy and data quality.

Location

Menlo Park, CA (onsite)

Salary

USD 114,000 - 173,000 per year

Responsibilities

Plan, build and maintain data warehouse initiatives for a product suite to address clearly defined problems.
Determine data needs for business challenges and implement comprehensive logging to ensure data availability, coordinating with the data infrastructure team to triage and resolve issues.
Partner with engineers, product managers and data scientists to translate data needs into meaningful insights and visualizations.
Develop data stewardship and apply controls to uphold privacy, security, compliance, data quality and operational integrity for assigned domains.
Design, develop and deploy new data models and dashboards in production using standard development toolkits.
Create end to end ETL pipelines in production independently, and mentor others on efficient querying.
Maintain existing production processes and implement optimized solutions with minimal guidance.
Define and govern data set service level agreements within assigned data domains.

Requirements

At least two years of experience with SQL, ETL, and data modeling, plus proficiency in at least one programming language such as Python, C++, C#, Scala, or other languages.

Technologies

SQL
ETL
Python
C++
C#
Scala

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that wil

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1mo ago

Data Engineer, Business Strategy & Analytics

Nashville Predators Nashville, TN

Nashville, TN

1mo ago Closed

Full time Analytics Business Intelligence Data Analysis

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Join the Nashville Predators onsite in Nashville, TN as a Data Engineer within the Business Strategy and Analytics function. This role emphasizes building and maintaining data pipelines, ETL and ELT processes, and analytics to inform decisions across NHL, Arena, and Sabertooth Sports & Entertainment. You will collaborate across teams to enable reliable reporting, data integrity, and actionable insights in a culture that prioritizes data-driven decision making and professional growth.

Responsibilities

Help shape the database architecture and design strategy that supports the business strategy and analytics teams.
Improve the performance of reporting and analytics datasets through normalization, indexing, and query optimization to enable broader resource capabilities.
Build and oversee ETL/ELT pipelines, data migrations, and validation workflows, including data flows delivered via APIs, RSS feeds, webhooks, SFTP, and SaaS apps.
Create modeled data sets for automated reporting across ticketing, partnerships, digital marketing, and customer journey mapping.
Work with identity resolution and golden record system creation and management.
Collaborate with CRM and Analytics teams to translate data needs into dependable solutions.
Expand the analytics team’s scope and impact within the Business Strategy and Analytics department.
Apply techniques to identify, extract, and analyze data to inform business decisions.
Use analytical approaches to convert complex data into actionable insights.
Document data processes, schemas, and workflows.

Requirements

Bachelor's degree with a record of professional and personal achievement; preferred concentrations include computer science, information systems, business analytics, or statistics.
0-1 year of professional experience building ETL/ELT pipelines, relational database design/management, and data operations.
Expert-level SQL skills (PostgreSQL preferred).
Familiarity with Amazon Redshift and related AWS services (S3, RDS, IAM, Glue, DMS) is a plus.
Proficiency in R, Python, JavaScript, or other open source tools for building and managing data pipelines.
Strong understanding of dimensional data modeling and hands-on experience with star schemas, including facts, dimensions, and slowly changing dimensions.
Excellent Microsoft Excel skills.
Understanding of ticket operations (Ticketmaster/TM1/Archtics) is a plus.
Understanding CRM systems data is a plus.
Ability to identify problems, their sources, and potential solutions while keeping day-to-day operations running smoothly.
Excellent interpersonal and communication skills with strong critical thinking and attention to detail.
Experience in the sports and entertainment industry is a strong plus.
Strong organization and prioritization skills.

Technologies

SQL (PostgreSQL)
Amazon Redshift
AWS Services: S3, RDS, IAM, Glue, DMS
R
Python
JavaScript
Excel

Benefits

Medical, dental, vision, and life insurance
Competitive pay
Referral bonuses
401K eligibility
Priority access to event presales
Tickets to events (when available)
Nashville Locker Room pro shop discount
Premium pay for overnight shifts
19+ days of paid time off each year
Ford Ice Center programming discount
On demand pay
Bonus potential

Essential Physical Functions

Ability to sit for extended periods
Ability to stand for extended periods
Excellent speaking and listening skills
Accessing, typing, and processing records via digital systems

EQUAL OPPORTUNITY EMPLOYER

Nashville Predators is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, veteran status, disability status, genetic information, or any other applicable federal or state protected classification. We celebrate diversity and are committed to an inclusive environment for all employees.

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1mo ago

Data Analytics Engineer

Parafin San Francisco, CA

San Francisco, CA

1mo ago Closed

$180k - $220k/yr Full time Analytics Apache Airflow Big Data

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Parafin is seeking a Data Analytics Engineer to design and scale data models, pipelines, and the analytics infrastructure that underpins key business metrics. You will transform raw data into trusted insights and collaborate with product, engineering, finance, risk, and operations to deliver data-driven solutions.

Location

San Francisco, CA (onsite)

Compensation

Salary: USD 180,000 - 220,000 per year

Responsibilities

Develop and maintain scalable data pipelines that support analytics data models and reliable datasets.
Craft efficient SQL transformations to validate and optimize data for analytics and reporting.
Utilize AI tools to accelerate development, boost productivity, and streamline analytics workflows.
Build and sustain dashboards, reports, and self-service analytics for business stakeholders.
Collaborate with Product, Engineering, Finance, Risk, and Operations to understand data needs and deliver data-driven solutions.
Monitor data quality, investigate discrepancies, and enhance data reliability across systems.
Contribute to ongoing improvements of Parafin's analytics infrastructure and analytics engineering practices.

Requirements

1 to 3 years of experience in Analytics Engineering, Data Analytics, Business Intelligence, Data Engineering, or a similar role.
Strong SQL proficiency.
Experience with relational databases and data warehouses.
Experience with Python or another scripting language.
Familiarity with dbt or interest in learning modern analytics engineering tools.
Experience building dashboards in Looker, Tableau, Sigma, Mode, or other BI platforms.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field, or equivalent experience.

Technologies

SQL
Python
dbt
Looker
Tableau
Sigma
Mode
Databricks
Snowflake
BigQuery
Git
Airflow
Dagster

Benefits

Equity grant
Medical, dental & vision insurance
Unlimited PTO
Work from home flexibility
Commuter benefits
Free lunches
Paid parental leave
401(k)
Employee assistance program

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1mo ago

Data Scientist, eCommerce Analytics

Caterpillar Chicago, IL

Chicago, IL

1mo ago Closed

$98k - $158k/yr Full time Analytics Artificial Intelligence Business Analytics

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Caterpillar is hiring a Data Scientist for its eCommerce Analytics team in Chicago, onsite, to apply analytics and machine learning for personalization and recommendations that drive parts and services growth.

Responsibilities

Leverage machine learning, statistics, causal inference, and cutting edge GenAI approaches to model customer behavior and implement personalization and recommendation features that yield measurable business impact
Build and deploy analytics powered solutions to optimize digital experiences, including recommendation engines and AI enabled assistants supporting conversational insights, targeting, and sales enablement use cases
Collaborate with product, engineering, and business teams to translate problems into scalable, data driven and AI enabled solutions
Own end to end components of analytics and data science initiatives, from exploratory analysis and modeling to shipping production ready insights or features
Proactively research and apply new techniques, including GenAI approaches, to improve customer impact
Present findings clearly to both technical and non technical audiences, influencing decisions through data driven storytelling

Requirements

Analytical thinking with a proven ability to diagnose root causes and craft actionable alternative solutions; familiarity with analysis techniques and tools
Experience in exploratory data analysis to extract patterns from complex datasets, including data cleaning, data mining, and writing or debugging queries across multiple tables or databases
Strong understanding of machine learning principles, algorithms, and tooling; ability to develop, implement, and maintain ML driven systems for classification, regression, or optimization tasks
Proficiency in data querying languages (SQL), scripting languages (Python), and statistical software (R)
History of collaborating with cross functional teams and communicating insights effectively to influence business decisions

Technologies

SQL
Python
R
AWS
Azure
Snowflake
Google Cloud

Benefits

Medical, dental, and vision benefits
Paid time off plan including vacation, holidays, and volunteer time
401(k) savings plan
Health Savings Account and Flexible Spending Accounts
Wellness and health lifestyle programs
Employee assistance program
Voluntary benefits and employee discounts
Career development opportunities
Incentive bonus
Disability benefits
Life insurance
Parental leave and adoption benefits
Tuition reimbursement

Additional Details

Location: Chicago, IL (onsite)
Relocation assistance not available
Visa sponsorship not available

Summary Pay Range

$97,530.00 - $158,480.00 per year

Posting Details

Offer of employment is conditioned upon the successful completion of a drug screen

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1mo ago

Senior Data Scientist

Sagility Remote 🇺🇸 Remote

Remote

1mo ago Closed

$93k - $95k/yr Full time Python Senior Business Analytics

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Senior Data Scientist at Sagility focusing on healthcare programs, applying mathematical modeling, ML/NLP, and predictive analytics to build cross-client ML/AI solutions and analyze program performance.

Responsibilities

Develop and interpret information using mathematical modeling and optimization techniques to support clients' strategic decisions.
Assess population health management program performance using propensity matching; analyze baseline and study periods for test and control groups with Python, SAS, Power BI, and Excel.
Implement advanced statistical, machine learning, and natural language processing models.
Use fraud, waste, and abuse analysis methods to generate actionable insights for end users.
Analyze lift in care management programs, medication adherence, and clinical visits with propensity-based approaches to measure operational impact on key program metrics.
Produce probabilistic models aligned with Home Health and Long-Term Care business contexts.
Build predictive models to improve savings and operational efficiency across pre and post-payment cycles for multiple payment types.
Design and deliver ML/AI solutions on cross-client platforms to identify inappropriate provider behavior and stratify social risk.

Requirements

Bachelor's degree or foreign equivalent in Engineering (Any), Data Analytics, or a related field, with at least five years of experience in the offered role or a similar data-focused position.
Five years of experience with statistical and predictive modeling techniques including machine learning and natural language processing; data mining and conducting statistical studies; evaluating program performance; and programming in Python, R, SQL, and SAS to extract and transform data from multiple data sources.
Three years of experience with healthcare data modeling, covering both insurance and providers; knowledge of healthcare economics, managing care plans, billing requirements, subscriber and provider responsibilities, utilization management, risk identification and adjustment, and long-term care.

Technologies

Python
SAS
Power BI
Excel
R
SQL

Compensation

Salary: USD 92,901 - 95,000 per year

Location

Remote

About Sagility

Sagility combines technology and transformation-driven business process management with deep healthcare domain expertise to bring clients closer to their members. The company optimizes the member and patient experience through clinical services, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics. Sagility employs more than 25,000 professionals across five countries.

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1mo ago

Data Scientist

Stanford University Stanford, CA

Stanford, CA

1mo ago Closed

Full time Big Data Data Analysis Data Analytics

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Based in Stanford, CA (onsite), Stanford RegLab seeks a full-time Data Scientist for a one-year fixed-term appointment (with potential extension) to provide analytical expertise across research programs, focusing on machine learning and policy evaluation.

Responsibilities

Collaborate with the Faculty Director, Research Directors, Senior Data Scientists, and teams of fellows and students to advance a diverse research program in machine learning and policy evaluation
Design, implement, and interpret the results of new experiments and studies
Work with large untapped data sets, including health and environmental enforcement data, mass adjudication records, high-resolution satellite imagery (15 cm per pixel), and the largest publicly available corpus of legal text
Develop and apply state-of-the-art machine learning models, algorithms, and statistical methods, while leading data collection and refining existing data sources
Devise methods to identify data patterns and trends using qualitative and quantitative techniques; determine additional data collection and reporting requirements; lead the implementation of data standards and common data elements
Take initiative to assess and produce relevant information (reports, charts, graphs, and tables) from structured data by querying data repositories
Write and distribute reports based on data analysis to applicable agencies, researchers, or internal end users
Serve as a resource for non-routine inquiries such as requests for statistics or surveys
Opportunity to receive co-authorship on research papers

Requirements

Bachelor's degree or a combination of education and relevant experience
Experience in a quantitative discipline such as economics, finance, statistics or engineering
Substantial experience with MS Office and analytical programs
Strong writing and analytical skills
Ability to prioritize workload
Expert knowledge of programming languages such as Python, R, and/or SQL

Technologies

Python
R
SQL
TensorFlow
TF
PyTorch
Scikit Learn
MS Office
GitHub

Core duties

Collect, manage and clean datasets
Employ tools to interpret, analyze, and visualize multivariate relationships in data
Create databases and reports, develop algorithms and statistical models, and perform appropriate statistical analyses
Use system reports and analyses to identify data issues, make corrections, and determine root causes from input errors or inadequate edits; propose solutions
Develop reports, charts, graphs and tables for investigators, publication, and presentations
Analyze data processes in documentation
Collaborate with faculty and research staff on data collection and analysis methods
Provide documentation based on audit and reporting criteria to investigators and research staff
Communicate with government officials, grant agencies and industry representatives

Minimum Education

Bachelor's degree or a combination of education and relevant experience

Minimum Experience

Experience in a quantitative discipline such as economics, finance, statistics or engineering

Knowledge, Skills and Abilities

Substantial experience with MS Office and analytical programs
Strong writing and analytical skills
Ability to prioritize workload

NICE TO HAVES

Specialization in machine learning frameworks (TensorFlow, TF, PyTorch, Scikit Learn, etc.), NLP, computer vision, or related fields
Academically minded, with experience working in an academic setting