data warehouse engineer

The Museum of Modern Art

<div>The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who rely on our data warehouse. This role guides and mentors the data engineers on technical standards and best practices, owns the relationship with stakeholders to make sure the data warehouse meets their needs, and serves as the resident expert on our data&mdash;how it is structured, how it relates, and how it should be used. This role requires a strong technical background, excellent problem-solving skills, and strong communication skills.

Responsibilities:
<ul>
<li>Serves as the technical anchor and mentor for the data engineering team, setting standards, reviewing work, and guiding design and architecture decisions.</li>
<li>Owns the relationship with other departments and data analysts, gathers their data needs, and ensures the data warehouse supports them.</li>
<li>Acts as the subject-matter expert on our data, advising analysts on how data is structured, how sources relate, and how best to query it.</li>
<li>Designs, develops, and maintains the data warehouse in Google Cloud Platform (GCP), ensuring scalability, performance, and reliability.</li>
<li>Builds and manage robust ELT pipelines to extract, transform, and load data from various sources into the data warehouse.</li>
<li>Defines and maintains data models that make data consistent and easy to understand for analysts and business users.</li>
<li>Manages and maintains databases, including MS SQL Server and PostgreSQL, ensuring data integrity and security.</li>
<li>Develops and maintains small software applications to support data management tasks and improve operational efficiency.</li>
<li>Collaborates with stakeholders to gather data requirements and translate them into technical solutions.</li>
<li>Troubleshoots data-related issues and provides timely solutions to ensure data availability and accuracy.</li>
<li>Stays up-to-date with the latest data engineering technologies and best practices, and shares them with the team.</li>
<li>Performs any other duties reasonably related to the functions described above.</li>
</ul>
Requirements:
<ul>
<li>Bachelor's or Master's degree in Computer Science or a related field.</li>
<li>Minimum of four years of experience as a Data Engineer with a strong understanding of data warehousing concepts and best practices.</li>
<li>Ability to guide and mentor other engineers and influence technical direction.</li>
<li>Proven experience partnering with analysts and stakeholders to understand their needs and translate them into data solutions.</li>
<li>Strong data modeling skills and the ability to explain how data relates and how it should be used.</li>
<li>Hands-on experience with GCP cloud services, including BigQuery, Cloud Storage, and Dataflow.</li>
<li>Proficiency in SQL and experience with database management systems such as MS SQL Server and PostgreSQL.</li>
<li>Experience building and maintaining ETL pipelines using tools like Apache Airflow or Google Cloud Composer.</li>
<li>Proficiency with Python and pandas.</li>
<li>Experience with other programming languages and paradigms such as C#, nodeJS and Ruby.</li>
<li>Knowledge of managing Linux and Windows servers.</li>
<li>Experience with data modeling and data visualization tools.</li>
<li>Experience with software development methodologies such as Agile.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication and collaboration skills.</li>
</ul>
Reports to: Director of Engineering

Salary Range: Minimum of $140,000 to a maximum of $160,000 per annum

Application instructions: To apply, please visit MoMA Jobs (https://recruiting.ultipro.com/MUS1002MOMA/JobBoard/9dbfa465-a36a-46c3-b31e-4929830ab266/?q=&amp;o=postedDateDesc). Applicants should submit a resume and a cover letter/statement of interest. Applications without cover letters will not be considered.

Equal Employment Opportunity has been, and will continue to be, a fundamental principle at the Museum, where employment is based upon personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, arrest or conviction record to the extent required by applicable law, credit history, or any other protected category as established by applicable law, including the New York City Human Rights Law (&ldquo;NYCHRL&rdquo;).
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

Senior Data Engineer

True Classic

<div>True Classic is hiring a Data &amp; Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards.
This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices &mdash; including pipeline design, data modeling, testing, and documentation &mdash; and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment.
All of True Classic&rsquo;s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise.<h2 class="jobSectionHeader">
Areas of Accountability</h2><h3 class="jobSectionHeader">
Extend &amp; Maintain the Data Platform</h3><ul><li>
Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality</li><li>
Contribute to completion of open data model workstreams across inventory, media, and product functions</li><li>
Expand data source connectivity and pipeline coverage across marketing and fulfillment systems</li><li>
Maintain and improve ETL/ELT workflows via Daasity and BigQuery</li><li>
Help monitor and optimize cloud data infrastructure for cost and performance</li></ul><h3 class="jobSectionHeader">
Bridge Data to the Business</h3><ul><li>
Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders</li><li>
Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&amp;L</li><li>
Contribute to predictive models for demand forecasting, inventory planning, and revenue projections</li><li>
Build and maintain the serving layer that the AI team queries &mdash; clean, modeled BigQuery tables in place of direct API calls</li></ul><h3 class="jobSectionHeader">
AI-Augmented Development</h3><ul><li>
Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development</li><li>
Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools</li><li>
Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring</li></ul><h3 class="jobSectionHeader">
Cross Functional Collaboration</h3><ul><li>
Work with finance to ensure financial data structures support forecasting and P&amp;L reporting needs</li><li>
Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications</li><li>
Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
4+ years of experience in data engineering or analytics engineering</li><li>
Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation</li><li>
Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development</li><li>
Strong SQL skills including joins, window functions, and CTEs</li><li>
Python proficiency for pipeline scripting, API integrations, and light modeling</li><li>
Familiarity with statistical modeling and predictive analytics (regression, time series)</li><li>
Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations</li><li>
Proficiency with AI coding tools &mdash; daily use expected</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
NetSuite or ERP experience</li><li>
Daasity, Shopify/Amazon data</li><li>
Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale),</li><li>
Omni/Looker, GitHub-based workflows</li></ul><h2 class="jobSectionHeader">
Workplace Arrangement</h2>
This role is on-site (5x week in office) based in Calabasas, CA.<h2 class="jobSectionHeader">
Compensation and Benefits</h2><h3 class="jobSectionHeader">
Compensation</h3><ul><li>
Competitive Salary + bonus</li></ul><h3 class="jobSectionHeader">
Time Off</h3><ul><li>
Unlimited PTO and sick time</li></ul><h3 class="jobSectionHeader">
Health &amp; Wellness</h3><ul><li>
Company-paid medical, dental, and vision insurance</li><li>
$100/month Health &amp; Wellness stipend</li><li>
Free Employee Assistance Program (EAP)</li></ul><h3 class="jobSectionHeader">
Work &amp; Growth Support</h3><ul><li>
$100/month Personal Workspace/Office stipend</li></ul><h3 class="jobSectionHeader">
Perks</h3><ul><li>
$1,000/year True Classic merchandise allowance</li><li>
401(k) plan with 3% company match</li></ul></div>

Data & Analytics Engineer

Wells Fargo

<div>About this role:
Wells Fargo is seeking a Senior Data Engineer to join the CSBB Deposits Data &amp; Insights team Technology. The Consumer Technology organization provides data technology services to the Enterprise-wide lines of businesses, functions, and leaders. Business alignment includes Enterprise Risk, Enterprise Finance, Enterprise Data Management and Insights, Human Resources, Public Affairs (including Marketing), Customer Excellence, Audit and Legal. 
 
The Senior Data Engineer will be part of the BMG Data Warehouse team within the Consumer and Small Business/Digital Data team. The BMG data warehouse supports key Deposits, Servicing, and Debit/Credit Data sets used by CSBB and other LOB business partners for reporting and analytics. The role will be responsible for providing technical expertise for solution design for medium to complex data work efforts, hands-on development, code reviews and QA for the current state BMG Data Warehouse platform. The role may also include work related to the Target State Cloud Platform Strategy, Roadmap, and Migration activities.
In this role, you will:<ul><li>
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables</li><li>
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting</li><li>
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors</li><li>
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis</li><li>
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements</li><li>
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals</li></ul> 
Required Qualifications:<ul><li>
4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul> 
Desired Qualifications:<ul><li>
4+ years of experience with Apache Spark, ETL(Ab Initio/Informatica/Data Stage), DBMS(Teradata/SQL Server), Java/Python/Scala(Programming language), Cloud essentials</li><li>
3+ years of Teradata and Unix experience</li><li>
2+ years of Data Engineering experience using Cloud Technologies, preferably with GCP &ndash; Google Cloud</li><li>
2+ years of AI technology implementations</li><li>
2+ years of experience with Agile</li><li>
2+ years of experience using Database Tools: Teradata, Load / Unload Utilities, Big Query</li><li>
Strong analytical skills with high attention to detail and accuracy</li><li>
Excellent verbal, written, and interpersonal communication skills</li><li>
Advanced SQL experience</li><li>
Advanced Microsoft Excel skills using power query</li><li>
Technical application support experience</li><li>
Ability to research, trend, analyze and model data</li><li>
Customer service focused with experience actively listening, eliciting information, comprehending customer issues/needs, and recommending solutions</li><li>
Ability to act as a liaison between the client area and technical organization</li><li>
Effective organizational, multi-tasking, and prioritizing skills</li><li>
Solid knowledge and understanding processes, procedures, and technologies</li></ul> 
Job Expectations:<ul><li>
Ability to work in a fast-paced environment</li><li>
Ability to understand business requirements and translate into data models and solutions that efficiently meet customer needs</li><li>
Works quickly and independently to meet required sprint objectives</li><li>
Actively participates in cross-team meetings and is excited to share knowledge for broader team improvement</li></ul>
Posting End Date:
2 Aug 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Novanta

<div>Build a career powered by innovations that matter! At Novanta, our innovations power technology products that are transforming healthcare and advanced manufacturing&mdash;improving productivity, enhancing people&rsquo;s lives and redefining what&rsquo;s possible. We create for our global customers engineered components and sub-systems that deliver extreme precision and performance for a range of mission-critical applications&mdash;from minimally invasive surgery to robotics to 3D metal printing.
Novanta is one global team with over 26 offices located in The Americas, Europe and Asia-Pacific. Looking for a great place to work? You have found it with a culture that embraces teamwork, collaboration and empowerment. Come explore Novanta.
Summary
The Senior Data Engineer owns Novanta&rsquo;s governed transformation layer end-to-end. As a senior individual contributor, you will design and build the Snowflake transformation layer (raw staging conformed marts), migrate legacy SQL views and user-maintained dimensions into versioned, tested dbt models with full lineage, and define the conformed dimensions and operational facts that unify our multi-ERP environment across the AET and Medical Solutions segments. You will set the modeling, testing, naming, documentation, and CI/CD standards that the future Data Engineer and MDM hires on this team will inherit. This role is hands-on; you should expect to spend most of your time in dbt, SQL, and Python rather than in meetings.
About the team
Novanta&rsquo;s Corporate &amp; Shared Services team serves as a strategic partner to the company&rsquo;s global business units, providing the expertise, systems, and infrastructure that enable growth, operational excellence, and innovation. Comprised of professionals across Finance, Accounting, Human Resources, Information Technology, Legal, Compliance, Corporate Development, and Corporate Marketing, the team collaborates closely with leaders across the organization to drive business performance, support strategic initiatives, enhance employee and customer experiences, and ensure the scalability of Novanta&rsquo;s global operations
Transformation Layer Design &amp; Build<ul><li>
Design and build the transformation layer in Snowflake (raw staging conformed marts) as the governed foundation for all downstream reporting and AI/ML use cases.</li><li>
Migrate existing SQL views to dbt-style versioned, tested models with full lineage.</li></ul>
Conformed Dimensions &amp; Dimensional Modeling<ul><li>
Define conformed dimensions and operational facts across Novanta&rsquo;s multi-ERP environment using Kimball dimensional modeling principles &mdash; star schemas, surrogate keys, fact grain decisions, and SCD Type 1 and Type 2 patterns where appropriate.</li><li>
Set modeling, testing, naming, documentation, and CI/CD standards for the team, including Git workflows, code review practices, dbt project structure, model contracts, and release management.</li></ul>
BI Migration &amp; Governance<ul><li>
Partner with report owners and stakeholders to validate semantic equivalence and minimize disruption during cutover from past datasets.</li><li>
Define and own the semantic layer where applicable (Snowflake Semantic layer, dbt Semantic Layer, Power BI semantic models) so that metric definitions are consistent across BI, AI, and embedded use cases.</li><li>
Implement data quality testing, observability, and lineage (dbt tests, Elementary, or equivalent), and partner with IT Audit on SOX-relevant controls for financial data flows.</li></ul>
AI / ML &amp; Agentic Readiness<ul><li>
Design models with downstream AI/ML and agent consumption in mind: documented model contracts, stable surrogate keys, semantically clear column names, and metadata sufficient for LLM-based retrieval and tool use.</li><li>
Partner with the AI/analytics team on feature-table patterns, golden-record exposure, and the data foundations required to support emerging agentic applications across Finance, Operations, and Commercial.</li></ul>
Mentorship &amp; Team Leadership<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related quantitative field; equivalent professional experience considered.</li><li>
7+ years in data engineering or analytics engineering, including 4+ years building production workloads on a cloud data warehouse (Snowflake strongly preferred; BigQuery, Databricks, or Redshift considered with equivalent depth).</li><li>
Expert SQL&mdash;window functions, performance tuning, and incremental load patterns at scale.</li><li>
3+ years of dbt in production (or an equivalent transformation framework), including macros, generic and singular tests, snapshots, incremental strategies, exposures, and documentation. You have designed a dbt project from scratch and maintained it in production.</li><li>
Hands-on experience with Kimball dimensional modeling &mdash; star schemas, conformed dimensions, fact grain decisions, surrogate keys, and SCD Type 1 and Type 2 patterns.</li><li>
Production experience with at least one ingestion tool (Fivetran, Airbyte, Informatica, or Matillion) and one orchestrator (dbt Cloud, Airflow, Dagster, or Azure Data Factory).</li><li>
Hands-on Git and CI/CD for data (GitHub Actions, Azure DevOps Pipelines, or GitLab CI), including code review and release management practices.</li><li>
Proficient in Python for data tooling &mdash; dbt macros, automation scripts, data quality frameworks, and lightweight API integration. You are not required to be a software engineer; you are required to write maintainable Python that solves data problems.</li><li>
Direct experience modeling data sourced from at least one major enterprise ERP (Oracle, SAP S/4HANA, SAP ECC, Microsoft Dynamics, or comparable).</li><li>
Strong written communication&mdash;able to author standards, runbooks, and documentation that non-engineers can follow.</li><li>
Self-starter who thrives in a fast-paced, multi-ERP environment with minimal supervision and competing stakeholder priorities.</li><li>
Experience supporting AI/ML, RAG, or agentic workloads from a warehouse layer (feature tables, embeddings, semantic metadata).</li></ul>
Preferred Qualifications<ul><li>
Table-level experience with SAP ECC and/or S/4HANA finance and logistics tables (e.g., BSEG, BKPF, MARA, EKKO, VBAK).</li><li>
Hands-on experience with Power BI semantic models, DAX, and certified dataset patterns.</li><li>
Prior data engineering or analytics experience in manufacturing, medical devices, or another regulated industry.</li><li>
Familiarity with SOX ITGC and IT-audit controls for financial data lineage at a publicly traded company.</li><li>
Exposure to MDM tooling and processes (Reltio, Informatica MDM, Stibo, or comparable).</li></ul>
Compensation<ul><li>
The salary for this role will range from 101,100.00 - 161,800.00 USD annual based on full-time employment. Salary offers are based on a wide range of factors including but not limited to location, relevant skills, training, experience, education, etc.</li><li>
Certain roles may be eligible for performance-based incentive compensation and/or long-term incentives. Incentives could be discretionary or non-discretionary depending on the plan.</li><li>
Novanta supports all aspects of your life&rsquo;s needs. This position provides a full range of medical, financial, and other benefits to make your quality of life better</li></ul>
Travel Requirements
Occasional travel is required to Novanta global locations.
Physical Requirements
Mobility to work in a standard office setting and to use standard office equipment, including a computer. Ability to use vision to read a computer screen and read printed materials.
Novanta is proud to be an equal employment opportunity and affirmative action workplace. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, military and veteran status, disability, genetics, or any other category protected by federal law or Novanta policy.
Please call +1 781-266-5700 if you need a disability accommodation for any part of the employment process.</div>

Nawy

<div>
 Nawy Proptech is in search of a highly motivated and talented Data Engineer to become a valuable addition to our dynamic team. As a Data Engineer at Nawy, you will play a key role in data management, ensuring data quality, integrity, and modeling. We are seeking an individual with a strong technical background, hands-on experience with data processing technologies, and a passion for building robust and efficient data solutions.
 
 
 <ul>
 <li>
 Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions
 </li>
 <li>
 Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure
 </li>
 <li>
 Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs
 </li>
 <li>
 Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data
 </li>
 <li>
 Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity
 </li>
 <li>
 Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities
 </li>
 <li>
 Perform data modeling and schema design to support analytical and reporting requirements
 </li>
 <li>
 Design and build data marts and business layers to facilitate efficient data access and analysis
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work
 </li>
 <li>
 Proven experience as a Data engineer or similar role, with at least 1 years of experience
 </li>
 <li>
 Advanced SQL knowledge/experience - complex queries and query optimization
 </li>
 <li>
 Proficiency in programming languages such as Python
 </li>
 <li>
 Experienced in the development of data warehouses and proficient in data modeling
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
 </li>
 <li>
 Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 </li>
 <li>
 The ability and willingness to learn new technologies on the job
 </li>
 <li>
 Self driven, highly motivated, fast learner, ambitious and creative
 </li>
 </ul>
</div>

Data Engineer

TPx Communications

<div><div>General Purpose:</div>
<div>
The Senior Data Engineer will work as a member of the Enterprise Data and Analytics team to support leadership, Operations, Product, Sales, HR, Finance, Legal, and Marketing teams with enterprise data, analytics, and insights. The ideal candidate is experienced in analyzing data, designing and maintaining scalable, high-performance data warehouses, calculating analytics, and creating effective visualizations of metrics. This role requires strong experience across a variety of data architectures, data modeling techniques, data analysis methods, data tools, and data visualization techniques, as well as a proven ability to solve business problems through data-based solutions. The successful candidate must be comfortable working with a wide range of stakeholders and functional teams.</div>
<div>
</div><div>Direct Reports: No</div>
<div>
</div>Essential Duties and Responsibilities:
<ul>
<li>Directly evaluates, design and maintain centralized enterprise data warehouses, data lakes, and analytics using industry-standard architecture principles and design patterns</li>
<li>Employ data warehousing best practices to design scalable data models and high-performance processes</li>
<li>Evaluates and implements efficient methods and tools to extract, transform, and load data from various sources</li>
<li>Leverage suitable algorithms, statistical methods, and libraries to compute analytics, train data sets, and produce predictive analytics</li>
<li>Use various optimization techniques to tune data structures and processes for best runtimes to maintain near real-time data refresh</li>
<li>Create dashboards and reports for data visualization using industry-standard tools and techniques</li>
<li>Develop readable, clear, easy-to-maintain code, test suites, and baseline results</li>
<li>Document and communicate analysis, design, development, testing activities, and results effectively</li>
<li>Participate in and contribute to peer review processes with team members to raise the quality and productivity of the team</li>
<li>Develop tools and processes to proactively monitor and analyze data quality, data consistency, and performance</li>
<li>Evaluate and create benchmarks on new technologies, tools, and techniques</li>
<li>Work with stakeholders throughout the organization to gather requirements and identify opportunities for leveraging data to drive business solutions</li>
</ul>
<div></div>Other Responsibilities:
<ul>
<li>Build Relationships: Establish and maintain positive working relationships with others, both internally and externally, to achieve the goals of the organization</li>
<li>Communicate Effectively: Speak, listen, and write in a clear and thorough manner using appropriate and effective communication tools and techniques</li>
<li>Foster Teamwork: Work cooperatively and effectively with others to set goals, resolve problems, and make decisions that enhance organizational effectiveness</li>
<li>Make Decisions: Assess situations to determine importance, urgency, and risks, and make clear decisions which are timely and in the best interests of the organization</li>
<li>Organize: Set priorities, develop a work schedule, monitor progress toward goals, and track details, data, information, and activities</li>
<li>Solve Problems: Assess problem situations to identify causes, gather and process relevant information, generate possible solutions, and make recommendations and/or resolve the problem</li>
</ul>
Required Qualifications:
<ul>
<li>Bachelor's degree in Computer Science, related field, or equivalent experience</li>
<li>10+ years of IT and software development experience with broad exposure to various technical environments and business segments</li>
<li>10+ years of experience in database technologies such as MS SQL Server, Oracle, MS Fabric, and Snowflake</li>
<li>5+ years of experience creating effective, user-friendly data visualizations using tools such as Power BI, Tableau, OBIEE, or equivalent</li>
<li>Strong design and problem-solving skills with an emphasis on data warehouse, data quality, and analytics</li>
<li>Proficiency in data architecture, data model design, procedures, and data quality</li>
<li>Experience using statistical methods (distributions, regression, etc.) and libraries such as Python to manipulate data and draw insights from large data sets</li>
<li>Excellent written and verbal communication skills for collaboration and documentation</li>
</ul>
Other Qualifications:
<ul>
<li>Intrinsically motivated to learn and master new technologies and techniques to grow professionally</li>
</ul>
<div></div>TPx is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy, childbirth, breast-feeding and related medical conditions), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability (including medical condition), military or veteran status, political preference, marital status, citizenship, genetic information or other status protected by law or regulation.

We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please let us know during the application process.

#LI-Remote

Req: #26-0081</div>

Senior Data Engineer (Remote)

Premier Nutrition Company

<div><div><div>Here&rsquo;s what all the hype is about&hellip;</div>
<div>Premier Nutrition Company (PNC) is one of the fastest-growing companies in the proactive wellness space showing clear leadership in the category of protein shakes and powders. We make the brands Premier Protein and Dymatize, and are part of our publicly traded holding company, BellRing Brands (NYSE: BRBR).</div>
<div></div><div>We have a simple, yet powerful, formula for our success, which we&rsquo;ve been nailing since our founding in 1997. We start with an organization powered by our company purpose&mdash;Changing Lives with Good Energy. Then our purpose-driven people are given the support and autonomy to develop and grow. Next, we are super-intentional about designing a culture where everyone feels like they truly connect and belong, which is one of our five company core values. Purpose-driven, connected employees deliver amazing business results. And winning companies with remarkable people and thriving cultures attract and retain top talent, so the cycle becomes self-reinforcing or what we call our regenerative culture.</div>
<div></div><div>We don&rsquo;t mind sharing our formula, since we believe the world would be a better place if more workplaces treated adults like adults and gave them the platform to do the best work of their lives&mdash;alongside some truly amazing colleagues. Why don&rsquo;t more companies do this? It takes deep-in-your-bones conviction to your people, products, and purpose to pull it off. It also takes resisting the urge to try to control people, and instead, trusting them to make the right decisions. The result of our vibrant culture speaks for itself: We were certified as a Great Place to Work&trade; for the 9th year-running in 2025. And we currently rank #8 on Fortune Magazine&rsquo;s Best Workplaces in our category and were in the top 12 for each of the last 7 years.</div>
<div></div><div>We have a long list of ways we take care of our people, but here are some crowd-pleasers that our employees often say they love most: Year-round &frac12; day Fridays, in-office massages, free lunches &amp; snacks, dogs in the office, culture of belonging celebrations, engaging in-office events like bring your kids to work day, 6% 401k match after 1 year, generous paid family leave regardless of gender, all positions bonus-eligible, company-wide volunteer days, company-matched charitable donations, no employee handbook, no dress code, coaching conversations
</div><div>instead of performance reviews, and walking meetings.</div>
<div></div><div>PNC seeks individuals who will flourish in this type of work environment and will add to our culture and help build this high-growth company for the next phase in our amazing journey. Does this sound like you? Then read on&hellip;</div>
<div></div>We believe in the power of mindset, and specifically what we call the Challenger Mindset. Do you take smart, bold risks, display relentless hunger, and see yourself as a builder? We&rsquo;re looking for individuals who choose action over analysis paralysis&mdash;those who start before they feel completely ready, make calculated moves based on the best information available, and build momentum through decisive action rather than perfect planning. You should have an insatiable drive that keeps you agile and forward-thinking, always challenging assumptions, seeking new opportunities, and focusing on long-term impact over short-term wins. Above all, you&rsquo;re a builder&mdash;someone who transforms the status quo, finds smarter, simpler, faster ways to get things done, and inspires others to do the same. #LI-HYBRID</div> 
<div>
</div>The role you&rsquo;re interested in&hellip;
As a Data Engineer, you will help our company solve their most challenging problems and drive decisions with data. As a member in our Enterprise Data Intelligence team, you will be at the center of data and analytical innovation and adoption. In this role, you will drive value by migrating, acquiring, maintaining, and evolving our data integration process and platform. Activities range from data acquisition and validation, designing and implementing ETL/ELT data pipelines, designing and implementing databases, job suite execution and monitoring, support testing, troubleshooting, and system analysis. You will be collaborating with all our departments to build end-to-end data infrastructure and pipelines that promote reporting and advanced analytics and further business process evaluation.
The work environment&hellip;
So, what&rsquo;s it like to work here? If you&rsquo;re based in the greater Bay Area, you&rsquo;ll walk into our Emeryville office each Tuesday morning and start the in-person portion of our hybrid work week at our weekly all-company meeting and find close to 200 of your colleagues, some sitting with their dogs, talking excitedly through the week ahead and watching a newer teammate tell their personal life and career journey followed by a quick update on any hot topics that might be relevant to the week ahead.
We are a dynamic, HYBRID workplace so every employee who lives within 100 miles of our offices is expected to come in Tuesday through Thursday. We are very intentional about connecting in person for things like innovation, impromptu collaboration, having respectful challenges to get to better decisions, leadership role-modeling, and culture building. Great work cultures are built on stories about what great looks like in practice, and great stories during virtual meetings just don&rsquo;t happen. The expected pay scale for this role is $145k to $155k, which may vary based on relevant experience, qualifications, geographic area (if applicable), and internal equity for the role.
At the beginning of 2026, we moved into our massive modern 133,000 square foot headquarters in Emeryville, California, complete with spacious personal workspaces, gym with rock-climbing wall, a caf&eacute;, free onsite parking, tons of greenery, and many transportation options.
You&rsquo;re excited about this opportunity because your time will be filled with&hellip;
Design, Develop, and Maintain Data Infrastructure and Pipelines: 60% of your time
<ul><li>Design, build, and maintain cloud-native data pipelines and infrastructure to support analytics, reporting, and data science use cases in a SaaS-based environment.</li>
<li>Perform all stages of the data lifecycle: requirements gathering, design, ingestion, transformation, modeling, testing, deployment, monitoring, and production support.</li>
<li>Implement and manage ELT pipelines using tools such as Fivetran, dbt, and Python, delivering reliable and scalable data solutions.</li>
<li>Develop and maintain data models, data marts, APIs, and automation scripts to streamline analytics workflows.</li>
<li>Design and deploy database schemas, tables, and views in Snowflake across multiple environments (DEV, QA/UAT, PROD).</li>
<li>Collaborate with stakeholders to translate business requirements into robust technical designs.</li>
<li>Support documentation, training, and enablement to drive adoption of enterprise data assets.</li></ul> 

Enhance and Optimize DataOps Operational Excellence: of your time 30%
<ul><li>Protect the data pipeline! Your mission is to monitor the production schedule, troubleshoot any failures, and ensure that the processes are running smoothly.</li>
<li>Monitor data quality and dig in deep to find solutions to problems when they arise.</li>
<li>Administer Snowflake security strategy and database management.</li>
<li>Fine-tune and optimize databases, queries, and pipelines for improved performance and efficiency.</li>
<li>Proactively identify processes that would benefit from system automation to improve the Enterprise Data Intelligence team effectiveness and increase operating efficiencies.</li>
<li>Research and test new technology solutions, assist in vetting architectural changes/database design that would have to occur to support enterprise adoption and determine impacts.</li>
</ul>
Data Warehouse Administration: 10% of your time
<ul><li>Follow documented procedures for configuring, maintaining, upgrading, testing, and deploying as a database administrator.
</li><li>Ensure best technical practices are followed for all enterprise database administration for the best user experience and sustainable design.</li></ul> 
<div></div>What are we looking for?
Education:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or related technical disciplines.</li></ul> 
<div></div>Experience:
<ul><li>5&ndash;7 years of experience as a Data Engineer working within cloud-native and SaaS-based environments, supporting enterprise data platforms built on data warehouses, data lakes, and application databases (e.g., Snowflake, Oracle, SQL Server).</li>
<li>5+ years of SQL experience with proven ability to write, optimize, and maintain complex queries and stored procedures.</li>
<li>Programming experience in Python, Scala, or other scripting languages for automation, data transformation, and integration.</li>
<li>Hands-on experience designing, building, and maintaining ELT/ETL data pipelines, dimensional models, and data marts using modern tools such as dbt, Fivetran, or equivalent cloud-based frameworks.</li>
<li>Demonstrated experience working with SaaS data sources and APIs, integrating data from cloud-based systems such as ERP (e.g., NetSuite), CRM, and planning tools (e.g., Oracle EPM, O9, or Salesforce).</li>
<li>Exposure to or hands-on experience with AI/LLM frameworks (e.g., Snowflake Cortex, MCP, or similar technologies) to enhance automation and data intelligence.</li>
<li>Experience with data integration and orchestration tools (e.g., Dell Boomi, Airflow, Azure Data Factory, or equivalent).</li>
<li>Strong understanding of data governance, observability, lineage, and data quality management in a cloud environment.</li>
<li>Experience using Git-based version control systems (e.g., GitHub, GitLab) and CI/CD workflows for deployment across multi-environment pipelines (DEV, QA, PROD).</li>
<li>Working knowledge of cloud platforms (preferably Azure, with exposure to AWS or GCP) and secure data exchange mechanisms (APIs, SFTP).</li>
<li>Excellent communication and collaboration skills, with the ability to work cross-functionally in a distributed SaaS organization.</li>
</ul>
Preferred Qualifications
<ul><li>Master&rsquo;s degree in Computer Science, Engineering, Information Systems, or related technical disciplines preferred.</li>
<li>Hands on knowledge with at least one key BI market tool (Tableau, SAP BO, Oracle BI, MS Power BI) is a plus.</li>
<li>Must be willing to be on call for night/weekend production support.</li>
<li>Ability to think strategically about tools and technologies that enable analytics.</li>
<li>Experience working in CPG industry.</li>
</ul>
Skills
<ul><li>Problem-Solving: Ability to analyze complex data challenges and develop innovative solutions that align with business objectives.</li>
<li>Get Things Done: Great work ethic and moves with a sense of urgency.</li>
<li>Drives Continuous Improvement: Always focusing on effective and efficient work and ways to get better.</li>
<li>Obsesses over the Details and committed to paying attention to the details</li>
<li>Demonstrated excellent verbal/written communication skills.</li>
<li>Life long learner: A passion for staying up-to-date with the latest trends and advancements in data engineering and related technologies.</li>
<li>Provocative thinker who is courageous to share his or her thoughts regardless of the level of the audience</li>
<li>Self-motivated individual who can identify issues/opportunities for improvement and be proactive in addressing them</li>
<li>Able to wear many hats and multitask as priorities evolve and change</li>
<li>Demonstrates ownership of outcomes vs being an order taker of tasks</li>
<li>Manage the forward progress on multiple projects and determine priority order</li>
<li>Bring a sense of fun, passion and positive attitude to every day</li>
</ul>
So, if after reading through this long list you&rsquo;re thinking&mdash;I&rsquo;m not sure I meet 100% of these requirements, should I still apply? YES&mdash;if you embody a growth mindset, see challenges as opportunities to develop, and find innovative ways to get the real work that matters done, you sound like our kind of candidate!
The 5 capabilities or mindsets most relevant to this role:
<div><ul><li>Challenger Mindset&mdash;bias for action, hungry to get after it, comfortable taking smart risks</li></ul>
<ul><li>Be a builder by creating for the future</li></ul>
<ul><li>Enterprise strategic view&mdash;take the full company perspective over departments or channels</li></ul>
<ul><li>Challenge ideas respectfully by sharing your real opinion with conviction; disagree in a way people feel heard</li></ul>
<ul><li>Bring people along by providing context and cascading information; share openly and inclusively</li></ul>
</div>
You will thrive here and may just do the best work of your life if&hellip;
<ul><li>You are hungry, are comfortable with smart risks,</li>
<li>You like to get sh*t, I mean&mdash;stuff done</li>
<li>You can be both clear and kind&mdash;empathetic yet hold people accountable</li>
<li>You want to be an integral part of shaping an amazing work culture and being a culture-add</li>
<li>You are comfortable being natural, casual, open, and even a bit playful at work</li>
</ul>
This may not be your ideal next career move if you like&hellip;
<ul><li>&hellip;a lot of structure, rules, and uniformity</li>
<li>&hellip;a lot of command and control management</li>
<li>&hellip;a &ldquo;big company&rdquo; impersonal, cog-in-the-machine vibe&mdash;that ain&rsquo;t us</li>
<li><ul><li>&hellip;to build a beautiful, orderly bureaucracy</li></ul></li>
<li>&hellip; things to not change much (we suggest the elevator business for that)</li>
</ul>
<div></div><div><div>Here&rsquo;s the deal with our not-so-standard, um&hellip;standard interview process because we know you are the curious type, which is why you&rsquo;re still reading this&hellip;</div>
<ul><li>Quick 30 min phone chat with a high energy member of our Talent Acquisition team to do a quick overview of your background and answer any burning questions you have</li>
<li>Team interviews are kept to a minimum to foster a more efficient, candidate-friendly process (too many interviewers yields little value and drags out the process for you&mdash;and who wants that, right?):
<ul><li>A short series of in-person or video interviews in a 1:1 setting; these are usually with the hiring manager, one or two other team members, and a person from another team to get broader perspectives (note: we don&rsquo;t do panel interviews because they don&rsquo;t give interviewers a chance to ask you unique questions, and we assign interviewers different roles so we&rsquo;re probing different capabilities)</li>
</ul></li><li>A case study or job task to simulate what you&rsquo;d actually be doing in the role might be included (since your job is not actually to be interviewed for a living, why is that the thing companies rely on so much?) Yes, there will be a small panel for this one so you don&rsquo;t have to do it more than once, and yes, they might ask you some kind yet probing questions at the end after the raucous applause stops.</li>
<li>Once your interview concludes, the team will meet for an in-depth consultative process to ensure we are hiring the right person for the right job. Interviewers must come in with a strong yes or no vote beforehand to avoid groupthink with supporting reasons. The collective thoughts on your candidacy will be discussed in an environment of safety to challenge ideas respectfully, debate. and be open to all important qualifications of the candidates. A trained, disinterested bias blocker will be present to help mitigate bias so the team can make a sound hiring decision. The moment of truth arrives when the hiring manager makes the big decision. If you nailed the interviews and the case study was brilliant, guess what? The offer is all yours! And the ball is in your court. Will you accept? We sure hope so, because this place is the real deal, and don&rsquo;t just believe us&mdash;just ask the 91% of our people who said this is a great place to work in our most recent employee survey.
</li></ul><div></div><div>We strive to create an equitable and inclusive environment to contribute to the success of our organization. Premier Nutrition provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, status as a covered veteran and any other category protected under applicable federal, state, provincial and local laws.</div></div></div><div></div>

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