data analytics engineer

True Classic

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

Data & Analytics Engineer

Wells Fargo

<div><p><b>Description</b></p><p><b>
Title</b><b>:</b>Data Analytics Engineer</p><p><b>
Location</b><b>: </b>Chandler, AZ</p><p><b>
Duration</b><b>: </b>104 W, 2 D
</p><p><b>Work Engagement</b><b>: </b>W2</p><p><b>
Work Schedule</b>: Hybrid 3 days in office/2 days remote</p><p><b>
Benefits on offer for this contract position</b>: Health Insurance, Life insurance, 401K and Voluntary Benefits</p><p><b>
Summary:</b></p><p>
In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Business Execution and contribute to large-scale planning related to Business Execution deliverables. Review and analyze moderately complex Business Execution challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Business Execution deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Business Execution. Required Qualifications: Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
</p><p><b>Key Requirements:</b></p><ul><li>Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.</li><li>Design and maintain Power BI dashboards that deliver actionable insights for technology, risk, and governance stakeholders.</li><li>Develop and optimize SQL queries for data extraction, analysis, validation, and reporting.</li><li>Automate data extraction, transformation, and reporting processes using Power Query and ETL methodologies.</li><li>Partner with stakeholders to gather requirements and translate business needs into effective technical solutions.</li><li>Analyze complex data sets to identify trends, risks, opportunities, and process improvements.</li><li>Create and manage user stories, requirements, and development activities within Jira for ServiceNow development.</li><li>Provide ongoing support, enhancements, and continuous improvement for reporting and analytics solutions.</li></ul><ul><li><p>
PowerBI development</p></li><li><p>
Github,</p></li><li><p>
SQL Query,</p></li><li><p>
Data visualization</p></li></ul></div><p></p>

Data Analytics Engineer (contract)

Nyla Technology Solutions

Job Description
<br><br>
ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
<br><br>
Turn massive, complex datasets into actionable intelligence! In this role, you will sit at the intersection of network intelligence, big data engineering, and operational content development. You’ll leverage Python and Apache Spark to interrogate enterprise-scale datasets, dissect complex protocol behaviors, and transform raw network telemetry into high-value operational content. If you thrive on wrestling with massive data streams, understanding lower-level network communication, and tailoring dataflows for mission success, you’ll fit right in with Team Nyla.
<br><br>
The annual base salary range for this role is $154,000-$182,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
<br><br>
,
<br>Required Skills
<br><br>
<b>Big Data Processing:</b> Demonstrated hands-on experience manipulating and analyzing large-scale datasets using Apache Spark.
<br><br>
<b>Python Development:</b> Strong, production-level proficiency in Python for data manipulation, analytics generation, and automation.
<br><br>
<b>Network & Protocol Analysis:</b> Deep technical understanding of network communications, packet analysis, and core internet protocols.
<br><br>
<b>Large-Scale Data Handling:</b> Comfortability operating in high-volume, distributed data environments with complex schemas.
<br><br>
<b>Education:</b> Bachelor’s Degree in Cyber Security, Computer Science, Computer Engineering, or a related technical discipline, PLUS 7+ years of professional experience in cyber operations, network analysis, or data engineering OR Master’s Degree in a related field, PLUS 5+ years of relevant professional experience OR High School Diploma / GED, PLUS 11+ years of specialized technical experience in lieu of a degree.
<br><br>
,
<br>Desired Skills
<br><br>
<b>Customer Systems & Tooling:</b> Direct familiarity with customer-specific dataflow architectures, processing frameworks, and domain-specific tools.
<br><b>ETL & Data Pipeline Optimization:</b> Hands-on experience constructing, maintaining, and optimizing ETL streams and messaging systems.
<br><b>Threat & Telemetry Analytics:</b> Experience building custom detection rules or behavioral signatures based on network traffic metadata.
<br><b>Modern Engineering Practices:</b> Familiarity with version control tools (Git), containerized environments (Docker), and Agile workflows.
<br>,
<br>About Nyla Technology Solutions
<br><br>
Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.
<br><br>
If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team,
<br><br>
Taking Care of All of You
<br>Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle.
<br><br>
The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule.
<br><br>
PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract!
<br><br>
LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave!
<br><br>
SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks!
<br><br>
WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place.
<br><br>
To learn more about Nyla's culture and our exceptional benefit packages click here.
<br>Nyla is an equal opportunity employer.

Senior Data Analytics Engineer

Pretium Packaging

<div><p><b><i>Grow boldly with Pretium and be a data and automation innovator!</i></b></p>
<p><b>
About Us: </b>Pretium Packaging, founded in 1992, is a leading supplier of injection-blow molded plastic containers, known for delivering superior quality, value, and customer service. With 20 manufacturing locations across North America, we provide innovative, high-performance packaging solutions to a diverse portfolio of brand owners in the U.S. and Canada.</p>
<p>
We are looking for an <b>Analytics Data Engineer</b> to design, build, and maintain the curated data products that power reporting, analytics, and strategic decision-making across the organization. This role is responsible for transforming raw and operational data into trusted, business-ready datasets, semantic models, and analytical assets that enable self-service analytics and enterprise reporting.<br>
<br>
The Analytics Data Engineer owns the Silver, Gold, and Semantic layers of the analytics platform and serves as the bridge between foundational data engineering and business intelligence. Working closely with Data Engineers, BI Developers, Strategic Insights Analysts, and business stakeholders, this role ensures that data is governed, consistent, scalable, and aligned with business definitions and reporting requirements.</p>
<p><b>
Remote location. 15% travel</b></p>
<p><b>
What you&rsquo;ll own:</b></p>
<ul>
<li>Analytics Engineering</li>
<li>Data Quality and Governance</li>
<li>Analytics Platform Support</li>
</ul>
<p><b>What you&rsquo;ll bring:</b></p>
<ul>
<li>5+ years of experience in analytics engineering, data engineering, business intelligence, or related disciplines.</li>
<li>Advanced SQL and data modeling expertise.</li>
<li>Oracle and IQMS a plus.</li>
<li>Experience designing dimensional models, semantic models, and analytical data products.</li>
<li>Strong understanding of medallion architecture concepts (Bronze, Silver, Gold).</li>
<li>Experience building and maintaining enterprise reporting datasets.</li>
<li>Ability to translate business requirements into scalable technical solutions.</li>
<li>Experience working with cross-functional business and analytics teams.</li>
<li>Strong communication, documentation, and problem-solving skills.</li>
</ul><p>
Equal Opportunity Employer<br>
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.</p></div>

Sr Analytics Data Engineer

Trideum Corporation

<div><p><b>Senior Data Scientist/Data Engineer</b><br>
Full-time<br>
<b>Huntsville, AL</b></p>
<p><b>About Us</b></p>
<p>Trideum Corporation is a 100% employee-owned company, committed to embracing the world&rsquo;s toughest challenges with a servant&rsquo;s heart. Through dedicated hard work and commitment, we provide distinctive quality and unparalleled customer service in all aspects of our business. We also know that our employees are the key to our success, and it is our mission to take care of them so they can take care of our customers and communities where we live, work, and play.</p>
<p><b>Position Summary</b></p>
<p>The Senior Data Scientist/Data Engineer will play a pivotal role in establishing the foundation for data-driven decision-making and enterprise-wide data operationalization in support of the United States Army Space and Missile Defense Command (USASMDC). This position focuses on translating complex data into actionable insights that enable senior leadership to make well-grounded decisions regarding technology investments, pilot programs, and portfolio rationalization. The Data Engineer will design, build, and maintain the data ontology tools, dashboards, and data pipelines necessary to measure technical maturity, operational efficiency, and mission alignment across the organization.</p>
<p>As a core contributor to the enterprise operational data and analytics team, you will be responsible for creating real-time decision support system data ontology mapping and interfaces that provide granular visibility into performance, technology, and operational readiness. You will work closely with data scientists, software developers, systems evaluation engineers, mission personnel, and enterprise architects to ensure that all data is traceable from source to recommendation. This role is essential for equipping leadership with the objective scoring criteria, evaluation metrics, and comprehensive reports needed to continuously improve the technology landscape.</p>
<p><b>What You&rsquo;ll Do</b></p>
<p>Responsibilities include, but are not limited to:</p>
<ul><li>Develop and maintain executive decision support products, including operational dashboards and artificial intelligence (AI) pipelines.</li>
<li>Build data pipelines and visualizations within enterprise platforms (such as Army Vantage) to provide real-time oversight of key metrics, including application usage, subscription consumption, and application programming interface (API) burn rates.</li>
<li>Design and implement comprehensive command-wide ontology and data dictionary for utilization across applications and analytic frameworks</li>
<li>Ensure strict data traceability from source data and assumptions through analyses to final recommendations.</li>
<li>Support the creation of a robust API flexible structure to integrate data flows and data sets from Programs of Record, Cloud-based Analytic Platforms, and Mission Systems.</li>
<li>Produce recurring monthly portfolio dashboards and comprehensive quarterly or annual reports.</li>
<li>Less than 25% travel may be required.</li>
</ul>
<p><b>Requirements and Qualifications</b></p>
<ul><li>Bachelor&rsquo;s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).</li>
<li>Proven experience building operational dashboards and data visualizations that provide real-time decision support to senior leadership.</li>
<li>Strong expertise in developing data pipelines, including experience integrating data from various sources to track utilization, consumption, and financial metrics.</li>
<li>5+ years of relevant professional experience.</li>
<li>Expertise in languages like Python, R, and SQL; data visualization software like Tableau, Power BI, or Qlik; and data management platforms like ADVANA, Palantir Foundry, Databricks, Snowflake, and Azure Synapse Analytics.</li>
<li>Experience establishing data traceability methodologies to ensure a clear linkage between raw data, analyses, and final recommendations.</li>
<li>Ability to define objective scoring criteria, evaluation metrics, and key performance indicators (KPIs) for technology assessments.</li>
<li>Excellent written and verbal communication skills, with the ability to translate complex data into clear, actionable insights for non-technical stakeholders.</li>
<li>U.S. citizenship and an active Secret security clearance with the ability to obtain/maintain a Top Secret/Sensitive Compartmented Information (TS/SCI) clearance.</li>
</ul>
<p><b>Desired Qualifications</b></p>
<ul><li>Master&rsquo;s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).</li>
<li>Experience working with Army Vantage or similar enterprise, cloud-based data platforms.</li>
<li>Familiarity with building artificial intelligence (AI) or machine learning pipelines for advanced analytics.</li>
<li>Previous experience supporting a Chief Technology Officer (CTO), Chief Data and AI Officer (CDAO), or similar executive-level function with enterprise-wide technology assessments.</li>
<li>Understanding of software lifecycle management, cloud computing integration, and modern development practices (e.g., DevSecOps).</li>
<li>Experience developing and maintaining infrastructure for data storage, data extraction, monitoring, and observability</li>
</ul>
<p><b>We Take Care of Our People</b></p>
<p>Whether you&rsquo;re looking to launch a new career or grow an existing one, Trideum is the type of company where you can balance great work with great life because we believe that taking care of our people is the right thing to do. Trideum offers:</p>
<ul><li>Competitive pay based on the work you do here and not your previous salary.</li>
<li>Traditional benefits such as medical, dental, vision, life, disability, and 401k matching.</li>
<li>Employee Stock Ownership Plan (ESOP).</li>
<li>Paid leave and the ability to cash out leave.</li>
<li>Free access to certified financial planners, wellness and support services, and discount programs.</li>
<li>Education assistance and professional development opportunities.</li>
<li>And much more.</li>
</ul>
<p><b>Ready to Apply?</b></p>
<p>Start Your Application now!</p>
<p><b>Equal Opportunity Employer</b></p>
<p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. People with disabilities who need a reasonable accommodation to apply or compete for employment with Trideum may request such accommodation(s) by contacting Human Resources at 256.704.6123 or HR@trideum.com.</p></div>

Senior Data Scientist

Full Visbility

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Industry</p>
<div>IT Services
</div></div><div><p>Date Opened</p>
<div>07/27/2026
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>Salary</p>
<div>$115K to $194K
</div></div><div><p>Work Experience</p>
<div>5+ years
</div></div><div><p>City</p>
<div>Huntsville
</div></div><div><p>State/Province</p>
<div>Alabama
</div></div><div><p>Country</p>
<div>United States
</div></div><div><p>Zip/Postal Code</p>
<div>35801
</div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Full Visibility LLC is a federally certified Small Business that delivers innovative technical solutions to address the nation&rsquo;s most critical and sensitive missions. Founded in 2006, our extensive technical capabilities and expertise support federal and state government agencies with over 100 cleared technical experts specializing in mission solution areas of Digital, AI &amp; Analytics, Cyber, and Engineering.</div><div></div><div><br>
With offices in the National Capital Region, Quantico, VA, and Huntsville, AL - we deliver critical technical solutions to various federal government agencies and departments.</div>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div><br>
Full Visibility is seeking a Data Engineer, Senior to work in Huntsville, AL. Candidate must possess a current/active Top Secret/SCI Eligible clearance. Individuals selected for this position will be subject to Counterintelligence (CI) Polygraph examinations based on their assignment after their start date and must be able to obtain and maintain any required CI Polygraph eligibility throughout the duration of their employment.</div><div>
<br>
The Data Engineer, Senior will be responsible for engineering in support of an advanced visual analytic application that includes developing data analytics for desktop and web-developed visual analytic software, facilitating the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing, as well as using the specified open source, COTS, and GOTS technologies. The Data Engineer will establish an application that produces manageable, actionable intelligence from streams of structured and semi-structured data; design strategies for enterprise database systems and set standards for operations, programming, and security; design and construct large relational databases; and integrate new systems with existing warehouse structure and refine system performance and functionality.</div><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><div><ul><li>
At least eight (8+) years of experience providing data engineering or related work.<br>
</li><li>
Knowledge of ETL data migration utilizing Java, Oracle, PostgreSQL, Apache Spark.<br>
</li><li>
Robust decision-making skills and domain knowledge.<br>
</li><li>
Bachelor&rsquo;s Degree in related field or in lieu of degree, 4 additional years of experience.</li></ul><div>
This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: local market conditions, and candidate qualifications, such as skills, education, and experience. A reasonable salary range for this position is $115K&ndash;$194K.<br>
</div></div><div>
#CJ</div><h3 class="jobSectionHeader"><b><br>
Benefits</b></h3><p><b>
About Full Visibility</b></p><p><br>
Full Visibility LLC is a federally certified Small Business that delivers innovative technical solutions to address the nation&rsquo;s most critical and sensitive missions. Founded in 2006, our extensive technical capabilities and expertise support federal and state government agencies with over 100 cleared technical experts specializing in mission solution areas of Digital, AI &amp; Analytics, Cyber, and Engineering.</p><p><br>
Our technologists are recognized as industry leaders with demonstrated expertise in innovating and transforming our client environments in support of national security and law enforcement. Headquartered in Tysons, VA &ndash; with locations in Chantilly, VA, Quantico, VA, and Huntsville, AL &ndash; we have specialized experience supporting sensitive missions and an understanding of the niche skillsets required to overcome challenges in these environments. Our clients benefit from an enthusiastic and reliable team of talent with high employee morale and retention based on our <b><i>FULL EMPLOYEE</i></b> approach where each employee&rsquo;s professional and personal well-being is considered. Our focus on employee development, success, and morale is demonstrated by our consecutive top ranking as the <i>Best Place to Work</i> by the Washington Business Journal as a twelve-time honoree. Full Visibility has also been included on the Inc. 5000 <i>Fastest-Growing Private Companies in America</i> list eight times since 2014.</p><p><br>
Full Visibility currently has over 20 active contracts with 100 billable staff supporting 21 clients in the Intelligence and Law Enforcement communities. As part of our commitment to partnerships, we are teammates with 13 prime contract holders. Additionally, Full Visibility holds contracts on several vehicles, such as GSA Multiple Award Schedule (MAS), DISA SETI (as IE TEK JV member), DIA SITE III, HCaTS, as well as several classified vehicles. Our portfolio includes experience serving the Department of Defense, Department of Homeland Security, Department of Justice, and Department of Veterans Affairs, as well as commercial clients.</p><div><br>
<br>
</div><p>Contact recruiting@fullvisibility.com for any questions or concerns related to this position or our company.</p><p><br>
To review our company benefit offerings please visit https://www.fullvisibility.com/benefits.</p><br>
<p></p>
</div><div><div><div>Full Visibility LLC is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran status, disability or genetic information or any other reason prohibited by law in employment.</div></div></div></div></div><p></p>

Data Engineer, Senior (TS/SCI Clearance)

Premier Cloud

<div><p><b>About Premier Cloud</b></p><p>
Premier Cloud is a Google Cloud Premier Partner dedicated to helping organizations modernize, collaborate, and scale through the power of cloud technology. Founded in 2001, we deliver cloud consulting, managed services, and tailored solutions to SMB and enterprise clients across North America.</p><p></p><p><br>
As one of Canada&rsquo;s fastest-growing companies, we help businesses unlock the full potential of Google Cloud, along with leading SaaS platforms like JumpCloud, Lumin, and Virtru. Our team is driven by innovation, technical excellence, and a shared commitment to delivering measurable impact for our clients.</p><p></p><p><br>
At Premier Cloud, we take pride in maintaining a collaborative, light-hearted culture that values creativity, growth, and inclusion. Year after year, we&rsquo;re recognized as a Great Place to Work-Certified&trade; organization and featured among the Best Workplaces in Technology.</p><p></p><p><b><br>
About the role</b></p><h2 class="jobSectionHeader"><b>
Join us as a Customer Engineer, Data &amp; Analytics</b></h2><p><b>
Premier Cloud - Austin, TX</b></p><h3 class="jobSectionHeader"><b>
Premier Cloud at a Glance</b></h3><p>
Premier Cloud, a Google Cloud Premier Partner, specializes in helping SMB and Enterprise clients across North America modernize, collaborate, and innovate using Google Cloud and SaaS solutions. They offer consulting, managed services, and cloud solutions to major organizations.</p><ul><li>
One of the fastest-growing companies in Canada, headquartered in Victoria, BC, with an office in Austin, TX.</li><li>
Certified a <b>Great Place to Work</b> for 6 years in a row.</li></ul><p><b>
Premier Cloud&rsquo;s professional services include:</b></p><ul><li>
Licensing and migration services for businesses wanting to implement Google Workspace.</li><li>
Data, AI, and Infrastructure solutions powered by Google Cloud.</li><li>
Consulting, training, and various professional services surrounding Google Cloud&rsquo;s products.</li></ul><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
As a <b>Google Cloud Customer Engineer, Data &amp; Analytics</b> at Premier Cloud, you'll be the primary technical expert in client-facing roles, focusing on scoping, designing, and delivering data solutions on Google Cloud Platform (GCP). You will partner directly with sales as a technical subject matter expert to differentiate Google Cloud to prospective customers through technical sales partnerships.</p><p>
Your goal is to turn complex challenges into scalable, high-performance data architectures that enable insights, decision-making, and innovation. You'll run technical discovery, architect client data solutions, build MVPs and POCs, demonstrate core GCP products, lead executive whiteboard sessions, and serve as a vital feedback loop between the field and Google Cloud product engineering teams.</p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><h4 class="jobSectionHeader"><b>
Technical Sales Partnership &amp; Discovery</b></h4><ul><li><b>
Partner with Sales:</b> Act as the technical subject matter expert alongside sales teams to differentiate Google Cloud and win prospective clients.</li><li><b>
Architectural Discovery:</b> Lead complex technical discovery and needs analysis to uncover customer architecture and identify underlying business and technical requirements.</li><li><b>
Solution Architecture:</b> Design scalable, cost-efficient, and high-performance data architectures directly aligned with client business goals and digital transformation strategies.</li></ul><h4 class="jobSectionHeader"><b>
POCs, Prototyping &amp; Technical Demonstrations</b></h4><ul><li><b>
Build MVPs &amp; POCs:</b> Drive proof-of-concepts (POCs), prototyping, and build Minimum Viable Products (MVPs) directly in customers' environments to prove technical viability.</li><li><b>
Product Demonstrations:</b> Showcase core GCP data products&mdash;including BigQuery, Dataflow, Dataproc, and Looker&mdash;through engaging, practical, and interactive demonstrations.</li><li><b>
Pipeline &amp; Data Engineering:</b> Develop, build, and deploy critical ETL/ELT pipelines, data warehouses, and data lakes to ingest, transform, and load data securely across its lifecycle.</li></ul><h4 class="jobSectionHeader"><b>
Executive Presentation &amp; Presales Strategy</b></h4><ul><li><b>
Executive Presence:</b> Deliver high-impact product messaging through live presentations, interactive whiteboard sessions, and executive-level briefings to both technical and non-technical stakeholders.</li><li><b>
Bid Responses:</b> Lead technical contributions for RFPs, RFIs, and detailed bid responses to secure technical wins.</li><li><b>
Client Consulting:</b> Conduct client readiness assessments and provide expert guidance throughout project lifecycles.</li></ul><h4 class="jobSectionHeader"><b>
Product Engineering Liaison</b></h4><ul><li><b>
Field Insights &amp; Roadmap Influence:</b> Act as a liaison between clients and Google Cloud product engineering teams, relaying field insights and customer feedback to help influence the future GCP product roadmap.</li><li><b>
Best Practices:</b> Contribute to internal best practices, knowledge sharing, and the creation of reusable solution templates for pre-sales engagements.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><h4 class="jobSectionHeader"><b>
Minimum Qualifications</b></h4><ul><li>
Proven experience in designing, building, and deploying data solutions on Google Cloud Platform (GCP).</li><li>
Hands-on expertise with core GCP data services, including <b>BigQuery</b> and <b>Dataflow</b>.</li><li>
Experience partnering with sales teams in a pre-sales, technical consulting, or Customer Engineering capacity.</li><li>
Demonstrated ability to build POCs, MVPs, and conduct live product demonstrations in client environments.</li><li>
Strong expertise in SQL, data warehouse design, and data pipeline development.</li><li>
Excellent communication and presentation skills, with experience leading executive whiteboard sessions and delivering bid/RFP responses.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li>
3+ years of experience in a Data Engineering or pre-sales Customer Engineering role.</li><li>
Experience with Looker or other modern data visualization platforms.</li><li>
Knowledge of AI/ML technologies and their practical integration into cloud data solutions.</li><li>
Active <b>GCP Professional Data Engineer</b> or <b>GCP Professional Cloud Architect</b> certifications.</li></ul><h3 class="jobSectionHeader"><b>
Why Premier Cloud? Your Impact and Growth</b></h3><ul><li><b>
Direct Impact:</b> Drive technical wins and shape scalable data architectures that transform how client organizations operate and innovate.</li><li><b>
Elite Collaboration:</b> Work directly alongside Google Cloud teams on strategic analytics initiatives, placing you at the forefront of cloud technology.</li><li><b>
Product Influence:</b> Directly bridge the gap between real-world customer needs and Google Cloud's product roadmap.</li><li><b>
Career Investment:</b> Enjoy ongoing training, certification sponsorships, and opportunities to lead cutting-edge data projects.</li><li><b>
Culture of Trust:</b> Thrive in a workplace certified 6 consecutive years as a <i>Great Place to Work</i>, supported by flexible remote options and premium equipment.</li></ul><h3 class="jobSectionHeader"><b>
Benefits</b></h3><ul><li><b>
Competitive Compensation:</b> A package reflecting your technical expertise and sales-enabling impact.</li><li><b>
Growth &amp; Development:</b> Dedicated budget and time for continuous Google Cloud certifications and training.</li><li><b>
Collaboration with Google:</b> High visibility and direct partnership with Google sales and engineering teams.</li><li><b>
Comprehensive Benefits:</b> Full health coverage, paid time off, and relocation assistance (where applicable).</li><li><b>
Work Environment:</b> Flexible remote work with top-tier equipment and an autonomous, trust-driven team culture.</li></ul></div>

Customer Engineer, Data & Analytics Req#112

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