analytics engineer

Zones IT Solutions

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Company Overview:
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 <br/>
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
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 <br/>
 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
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 <br/>
 Position Overview
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 We are seeking a highly motivated individual to support and evolve our data, planning, and analytics ecosystem. This role will work across Microsoft D365, Azure data platforms and Supply and Demand planning software (Kinaxis Maestro) to maintain and deliver reliable data pipelines, resolve system issues, and support business reporting and analytics.
 <br/>
 <br/>
 The ideal candidate is a self-starter, strong critical thinker, and hands-on problem solver who can reverse engineer existing processes and code, identify root causes, and continuously improve system reliability and performance. Familiarity with supply chain operations and planning concepts is essential.
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 <br/>
 <strong>
  What You&rsquo;ll Do As An Analytics Engineer
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  <br/>
 </strong>
 Employees employed in the role of Analytics Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
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 <br/>
 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
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 <br/>
 <ul>
  <li>
   Design, support, and enhance data pipelines and integrations using Azure Databricks, Azure Data Factory, and related Azure services
  </li>
  <li>
   Investigate, troubleshoot, and resolve bugs, incidents, and data quality issues across planning, reporting, and integration workflows
  </li>
  <li>
   Support and enhance integrations, data flows, and analytical use cases
  </li>
  <li>
   Develop and maintain SQL, Python, and Scala code for data transformation, validation, and analytics
  </li>
  <li>
   Build and support Power BI datasets, semantic models, and reports for supply chain and operations stakeholders
  </li>
  <li>
   Collaborate with business partners to refine user stories and technical requirements, translating business needs into scalable solutions
  </li>
  <li>
   Actively participate in team workflows including backlog grooming, sprint execution and demonstration
  </li>
  <li>
   Perform root-cause analysis by reverse engineering existing code, pipelines, and undocumented processes
  </li>
  <li>
   Recommend and implement improvements to data modeling, performance, monitoring, and reliability
  </li>
  <li>
   Document systems, data flows, and operational procedures to improve maintainability and knowledge sharing
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   <br/>
  </li>
 </ul>
 <strong>
  Education/Certification
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  <br/>
 </strong>
 What you will bring to the team:
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 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s degree in a related field.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience
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  <br/>
 </strong>
 <ul>
  <li>
   Strong experience with Azure Databricks, Azure Data Factory, and cloud-based data architectures
  </li>
  <li>
   Proficiency in SQL and Python (Scala experience also preferred)
  </li>
  <li>
   Experience with Power BI, including data modeling and performance optimization
  </li>
  <li>
   Experience supporting production data pipelines and troubleshooting complex issues
  </li>
  <li>
   Proven ability to work independently, prioritize work, and navigate ambiguity
  </li>
  <li>
   Strong analytical and problem solving skills with attention to detail
  </li>
  <li>
   Experience working with Kinaxis Maestro (or similar supply chain planning systems)
  </li>
  <li>
   Exposure to enterprise ERP systems (e.g., SAP, Oracle, Dynamics)
  </li>
  <li>
   Prior experience supporting business critical operational systems
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   <br/>
  </li>
 </ul>
 Zones offers a comprehensive Benefits package
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 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
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 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
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 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
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 Job timings: 8:00PM &ndash; 5:00AM (Pk time)
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</div>


Analytics Engineer

Loop

<div>
 <strong>
  About Loop
  <br/>
  <br/>
 </strong>
 Loop is industrializing services through AI, starting with one of the world's most complex industries: the global supply chain. We're an AI-native company built to solve the systemic data problem that's held logistics back for decades. Our Logistics Data Platform turns fragmented, unstructured data into a trusted foundation that fuels automation, financial clarity, and decision intelligence at scale. Today, Loop serves &gt;20% of the Fortune 100, manages over $30B in supply chain spend, and helps its clients save hundreds of millions of dollars each year.
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 We recently closed a $95M Series C and are backed by leading investors including Valor Equity Partners, Founders Fund, 8VC, Index Ventures, J.P. Morgan, and more than 50 industry-leading angel investors.
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 Our team brings deep expertise from Uber, Google, Microsoft, Meta, Amazon, Flexport, C3 AI, VMware, Box, UPS, and C.H. Robinson and we're looking for builders who want to help shape what comes next.
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 <br/>
 <strong>
  About The Role
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  <br/>
 </strong>
 As an Analytics Engineer at Loop, you will play a pivotal role in maturing the data organization. You&rsquo;ll work cross-functionally across Engineering, Product, Design, Strategy &amp; Operations, and AI Platform teams to design, build, and own the core infrastructure and data models. These systems will enable both internal and client facing analytics, accelerating data-driven decision-making throughout the company and our clients.
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 This is an in-person role based in our Chicago office with the expectation of being onsite 4+ days per week.
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 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own Core Data Models and ETL Pipelines: Design, build, and maintain Loop&rsquo;s core data models and ETL processes.
  </li>
  <li>
   Define Metrics and Governance: Establish and govern key business metrics for consistency across teams.
  </li>
  <li>
   Maintain Data Quality and Uptime: Ensure data accuracy and reliability with strong SLAs.
  </li>
  <li>
   Automate Data Requests: Convert ad-hoc data requests into scalable, repeatable pipelines.
  </li>
  <li>
   Optimize Data Infrastructure: Manage and optimize data infrastructure for performance, cost, and compliance.
  </li>
  <li>
   Develop Data Products: Create data-driven solutions and embedded analytics to support business and product teams.
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   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
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 </strong>
 <ul>
  <li>
   2+ years experience building analytical products (system, dashboard, models).
  </li>
  <li>
   Strong proficiency in SQL and Python for data transformations and automation.
  </li>
  <li>
   Hands-on experience with modern data stack tools (e.g., Snowflake, dbt, Dagster, Airflow, Looker).
  </li>
  <li>
   Excellent business communication skills to translate data insights into actionable business strategies.
  </li>
  <li>
   Experience with data dashboarding and visualization tools (e.g., Tableau, Looker, Superset, Mode).
  </li>
  <li>
   Ability to manage, optimize, and scale data infrastructure.
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  </li>
 </ul>
 <strong>
  <strong>
   Nice to Have
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  </strong>
 </strong>
 <ul>
  <li>
   Global supply chain experience in transportation and logistics.
  </li>
  <li>
   Previous experience setting up a data stack in a startup from scratch.
  </li>
  <li>
   Interest or experience in working with cutting-edge open-source data tool.
  </li>
  <li>
   Proven ability to convert ad-hoc data requests into scalable, automated pipelines.
  </li>
  <li>
   Experience working in the logistics domain.
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   <br/>
  </li>
 </ul>
 <strong>
  Compensation And Benefits
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  <br/>
 </strong>
 The base pay range for this role is $140,000 to $160,000 annually. This range reflects the base pay that Loop reasonably expects to pay for the position at the time of hire. Actual compensation will depend on job-related factors, including experience, skills, qualifications, location, and business needs.
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 In addition to base salary, this role may be eligible for equity. This role is also eligible for Loop's benefits, including health, dental, and vision insurance, 401(k) match, paid time off, paid holidays, and parental leave.
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 <strong>
  <strong>
   Equal Opportunity
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   <br/>
  </strong>
 </strong>
 Loop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
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 <br/>
 Why you should join Loop?
</div>


talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
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 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
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 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
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 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
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 <br/>
 As a n Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.
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 <ul>
  <li>
   Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.
  </li>
  <li>
   Ensure data is structured to support self-service analytics and business intelligence.
  </li>
  <li>
   Work closely with data engineers to define data requirements and enhance ETL pipelines.
  </li>
  <li>
   Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.
  </li>
  <li>
   Implement and enforce data quality best practices to ensure accuracy and consistency.
  </li>
  <li>
   Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.
  </li>
  <li>
   Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.
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   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
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  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
  </li>
  <li>
   Strong proficiency in Python, SQL and experience with dbt for data modeling.
  </li>
  <li>
   Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).
  </li>
  <li>
   Familiarity with version control (Git) and CI/CD practices for data workflows.
  </li>
  <li>
   Understanding of data engineering principles, including ETL/ELT processes.
  </li>
 </ul>
</div>


Analytics Engineer II

State of Minnesota - Minnesota IT Services

<p></p><div><h2 class="jobSectionHeader"><b>Job Details</b></h2><p></p><p><b>
Working Title: Data Analytics Engineer</b><br>
<b>Job Class: Information Technology Specialist 4</b><br>
<b>Agency: Minnesota IT Services</b></p><ul><li><b>
Job ID</b>: 95411</li><li><b>
Location</b>: St. Paul
</li><li><b>Telework Eligible</b>: Yes #LI-Hybrid</li><li><b>
Full/Part Time</b>: Full-Time</li><li><b>
Regular/Temporary</b>: Unlimited</li><li><b>
Who May Apply</b>: Open to all qualified job seekers</li><li><b>
Date Posted</b>: 07/10/2026</li><li><b>
Closing Date</b>: 07/16/2026</li><li><b>
Hiring Agency/Seniority Unit</b>: Minnesota IT Services</li><li><b>
Division/Unit</b>: Department of Corrections (DOC)</li><li><b>
Work Shift/Work Hours</b>: Day Shift</li><li><b>
Days of Work</b>: Monday - Friday</li><li><b>
Travel Required</b>: No</li><li><b>
Salary Range: </b>$37.72 - $62.21 / hourly; $78,759 - $129,894 / annually</li><li><b>
Job Class Option</b>: Data Systems</li><li><b>
Classified Status</b>: Classified</li><li><b>
Bargaining Unit/Union</b>: 214 - MN Assoc of Professional Empl/MAPE</li><li><b>
FLSA Status</b>: Exempt - Professional</li><li>
Designated in Connect 700 Program for Applicants with Disabilities: Yes</li></ul><h3 class="jobSectionHeader"><b>
The work you'll do is more than just a job.</b></h3><p>
At the State of Minnesota, employees play a critical role in developing policies, providing essential services, and working to improve the well-being and quality of life for all Minnesotans. The State of Minnesota is committed to equity and inclusion, and invests in employees by providing benefits, support resources, and training and development opportunities.</p><div>
Join the 2,800+ professionals of Minnesota IT Services (MNIT) who connect Minnesotans to services that will improve their lives. This position serves our partners at the Department of Corrections (DOC). The MNIT DOC team runs many unique applications that manage the information and security of the department, supporting 4,500 employees across 10 prisons and 50 field offices located throughout the state.</div>
<p></p><h2 class="jobSectionHeader"><b>Job Summary</b></h2><p></p><div>
As a the Data Analytics Engineer with Minnesota IT Services (MNIT) supporting the Department of Corrections (DOC), you will play a key role in shaping and advancing the strategic foundation for analytics and reporting to solve complex business challenges. You will apply advanced professional expertise in analyzing, designing, developing, implementing, and supporting the administration, maintenance, and security of data within modern database platforms, helping the Minnesota Department of Corrections realize its vision of managing data as a strategic asset.
</div><div></div><div><b>This position is telework eligible for applicants who reside in Minnesota or in a bordering state, with supervisory approval and satisfactory performance. If you live in a state bordering Minnesota, you must live within 50 miles of less from the primary work location to be eligible for telework. </b><b>Telework</b><b> arrangements and policy updates may be adjusted based on business needs.</b>
</div><p></p><h2 class="jobSectionHeader"><b>Qualifications</b></h2><p></p><h3 class="jobSectionHeader"><b>
Minimum Qualifications</b></h3><div><b>
To qualify, candidates must clearly show all of the following qualifications in their resume. Resume tips available </b><b>here</b><b>:
</b></div><div></div><div>Position requires a minimum of four (4) years of IT related experience in business intelligence or data analytics.</div><div>
</div><div>Experience must include:</div><ul><li>
Azure tech stack like Azure Data Factory, Synapse, Fabric, Power BI.</li><li>
Strong knowledge of DAX and Power Query for data modeling and transformations.</li><li>
Experience connecting Power BI to multiple data sources (SQL Server, Azure, APIs, Excel, SharePoint, etc.)</li><li>
Strong SQL for analyzing the data and experience with data modeling and database design.</li><li>
Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud).</li><li>
Demonstrated ability to communicate clearly and effectively in a manner that facilitates mutual understanding.
</li><li>Customer-focused approach grounded in active listening, empathy, and solution-oriented problem-solving to deliver positive user experiences.
</li></ul><h3 class="jobSectionHeader">Education in Information Technology (IT) or an IT related field may substitute for experience as follows: a master&rsquo;s degree for eighteen (18) months of experience; a bachelor&rsquo;s degree for one (1) year; and an associate&rsquo;s degree for six (6) months.</h3><h3 class="jobSectionHeader"><b>
Strongly Preferred Qualifications</b></h3><ul><li>
Familiarity with data security concepts, including row-level security in Power BI.</li><li>
Ability to design interactive dashboards that provide actionable insights for business users.</li><li>
Strong analytical and problem-solving skills.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Understanding of data modeling, ETL processes, and data visualization best practices.
</li><li>Knowledge of Python/R for advanced analytics.</li><li>
Effective communication, presentation, active listening and interpersonal skills to lead others in the establishment of business intelligence and analytics.</li></ul><h3 class="jobSectionHeader"><b>
Additional Requirements</b></h3><div>
It is the policy of Minnesota IT Services that a successful candidate must pass all legally required check prior to employment which may consist of the following:</div><ul><li>
SEMA4 Records Checks (applies to current and past state employees only)</li><li>
Criminal History Check</li><li>
Reference Check</li><li>
Social Security and Address Verification</li><li>
Education Verification
</li><li>CJIS Background Check
</li><li>DOC Background Check
</li><li>Other legally required checks</li></ul><h3 class="jobSectionHeader"><b>
Minnesota IT Services does not participate in E-Verify. Minnesota IT Services will not sponsor applicant for work visas, including F-1 STEM OPT extensions. Minnesota IT Services is not able to complete Form I-983 or any other form that requires that the employer certifying to using E-Verify. All applicants must be legally authorized to work in the United States.</b></h3>
<p></p><h2 class="jobSectionHeader"><b>Application Details</b></h2><p></p><h3 class="jobSectionHeader"><b>
How to Apply</b><b>
</b></h3><p>Select &ldquo;Apply for Job&rdquo; at the top of this page. If you have questions about applying for jobs, contact the Careers Help Desk at 651-259-3637 or email careers@state.mn.us. For additional information about the application process, go to http://www.mn.gov/careers.</p><h3 class="jobSectionHeader"><b>
Contact</b></h3><p>
If you have questions about this position, contact workwithmnit@state.mn.us.</p><div><b>
Connect 700 Program</b>
</div><p>To receive consideration as a Connect 700 Program applicant, apply online, email the Job ID#, the Working Title and your valid Proof of Eligibility Certificate by the closing date to workwithmnit@state.mn.us.</p><div><b>
Veterans</b>
</div><div></div><div><b>To be considered for any </b><b>Veteran's Status</b><b>, you MUST indicate this on your application.
</b></div><div></div><div>RECENTLY SEPARATED VETERANS (RSV): Effective July 1, 2009, legislation provides that the top five RSV applicants who apply and meet the qualifications for a vacancy shall be granted an interview. You must:
</div><ul><li>Meet all Minimum Qualifications identified in this posting.
</li><li>Meet all of the RSV criteria.
</li><li>Submit a copy of your DD-214 form by the closing date to: workwithmnit@state.mn.us.
</li></ul><div>CERTAIN DISABLED VETERANS: Effective August 1, 2012, legislation provides state agencies with the option to appoint certain disabled veterans on a noncompetitive basis if you:
</div><ul><li>Meet service requirements and have a verified service-connected disability rating of at least 30%.
</li><li>Provide qualifying documentation verifying the disability.
</li><li>Meet all Minimum Qualifications identified in this posting.
</li><li>You must submit all documentation by the closing date to: workwithmnit@state.mn.us.
</li></ul><div><b>Current State Employees
</b></div><ul><li>Bidders: This vacancy is open for bids and all qualified applicants simultaneously. This vacancy will be filled in accordance with applicable union contract provisions. Current employees of Minnesota IT Services who are currently in an <b>Information Technology Specialist 4/</b> <b>Data Systems </b>position and who are eligible to bid and apply within the seven (7) day bidding period will be considered prior to filling the position via other means.
</li><li>Current State Employees: Please note that employment provisions (including but not limited to seniority and leave accrual) vary among the three branches of Minnesota State government. When considering a job with another branch of state government, you are highly encouraged to explore these differences. For assistance, please direct questions to your current or anticipated Human Resources office.</li></ul><h3 class="jobSectionHeader"><b>
About Minnesota IT Services</b><b>
</b></h3><div>Minnesota IT Services is the information technology agency for the State of Minnesota. MNIT partners with agencies, boards, councils, and commissions to deliver secure, reliable technology solutions as we set IT strategy, direction, policies, and standards statewide. Work for MNIT and be part of a nation-leading IT organization that helps to create an innovative government that works for everyone. Our culture promotes collaboration, demands agility, and encourages us to embrace change. Be a part of something bigger than yourself, something to be inspired by; come to work for MNIT.
</div><h4 class="jobSectionHeader"><b>Working together to improve the state we love.
</b></h4><p>What do Minnesota's State employees have in common?
</p><ul><li>A sense of purpose in their work</li><li>
Connection with their coworkers and communities</li><li>
Opportunities for personal and professional growth</li></ul><h4 class="jobSectionHeader"><b>
Benefits</b><b>
</b></h4><p>As an employee, you'll have access to one of the most affordable health insurance plans in Minnesota, along with other benefits to help you and your family be well.</p><h4 class="jobSectionHeader"><b>
Your benefits may include:</b><b>
</b></h4><ul><li>Paid vacation and sick leave
</li><li>12 paid holidays each year
</li><li>Low-cost medical, dental, vision, and prescription drug plans
<ul><li>Fertility care, including IVF</li><li>
Diabetes care</li><li>
Dental and orthodontic care for adults and children
</li></ul></li><li>6 weeks paid leave for parents of newborn or newly adopted children</li><li>
Pension plan that provides income when you retire (after working at least three years)</li><li>
Employer paid life insurance to provide support for your family in the event of death</li><li>
Short-term and long-term disability insurance that can provide income if you are unable to work due to illness or injury</li><li>
Tax-free expense accounts for health, dental, and dependent care
</li><li>Resources that provide support and promote physical, emotional, social, and financial well-being</li></ul><h4 class="jobSectionHeader"><b>
Support to help you reach your career goals:</b></h4><ul><li>
Training, classes, and professional development</li><li>
Tuition reimbursement
</li><li>Federal Public Service Loan Forgiveness Program (Some positions may qualify for the Public Service Loan Forgiveness Program. For more information, visit the Federal Student Aid website at studentaid.gov)</li></ul><h4 class="jobSectionHeader"><b>
Employee Assistance Program (EAP) for work/life support:</b></h4><ul><li>
A voluntary confidential program that helps employees and their families with life challenges that may impact overall health, personal well-being, or job performance</li><li>
Common sources of stress can be addressed through the EAP: mental health, relationship challenges (personal and work), grief and loss, finances, and legal issues</li><li>
Daily Living/Convenience Services: Chore services, home repair, trip planning, child/elder care</li></ul><p></p><p><b>
Programs, resources and benefits eligibility varies</b> based on type of employment, agency, funding availability, union/collective bargaining agreement, location, and length of service with the State of Minnesota.
</p><p></p><p><b>EQUAL OPPORTUNITY EMPLOYERS</b><b>
</b></p><p>Minnesota state agencies are equal opportunity, affirmative action, and veteran-friendly employers. State agencies are committed to creating a workforce that reflects the diversity of the state and strongly encourages persons of color and Indigenous communities, members of the LGBTQIA2S+ community, individuals with disabilities, women, and veterans to apply. The varied experiences and perspectives of employees strengthen the work we do together and our ability to best serve Minnesotans.</p><p>
All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex (including pregnancy, childbirth, and disabilities related to pregnancy or childbirth), gender identity, gender expression, marital status, familial status, age, sexual orientation, status regarding public assistance, disability, veteran status or activity in a local Human Rights Commission or any other characteristic protected by law.</p><p><b>
APPLICANTS WITH DISABILITIES</b></p><p>
Minnesota state agencies make reasonable accommodations to their employees and applicants with disabilities. If you have a disability and need assistance in searching or applying for jobs with the State of Minnesota, call the Careers Help Desk at 651-259-3637 or email careers@state.mn.us and let us know the support you need.</p></div>

Data Analytics Engineer - ITS4

BillGO, Inc.

<div><p><b>Senior AI Data Analytics Engineer
</b></p><p>BillGO is building the next generation of payments &mdash; an intelligent network that helps small businesses get paid faster, operate leaner, and grow with confidence. The Senior AI Data Analytics Engineer sets the technical direction for BillGO's data and AI architecture, turning payments data into reliable, scalable, and intelligent products the rest of the organization builds on. Reporting to the VP, Data Office, this role sits at the intersection of data engineering, analytics, AI/ML, and the business. It's an individual-contributor role with no direct reports &mdash; leadership is exercised through architecture, standards, and mentorship, not people management. Success is measured by the reliability, reuse, and trustworthiness of BillGO's data and AI products, not the volume of models or dashboards produced.</p><div>
</div><p><b>Why This Role Matters</b></p><p>
BillGO's future runs on trustworthy data, and this role owns making sure it stays that way as the company scales. As the architect of the data models, semantic layers, and AI/RAG patterns that Product, Finance, Risk, and Operations all build on, this person turns scattered payments data into a single source of truth - while setting the validation standards that keep AI-generated insights accurate before they ever reach a decision-maker. It's an individual contributor role with outsized reach: get it right, and BillGO moves faster with more confidence - faster reconciliation, fewer fraud losses, and self-service, AI-powered insight in the hands of every team instead of just a few.</p><p><b>
 </b><b>What You&rsquo;ll Do</b></p><p><b>
Data &amp; AI Architecture</b></p><ul><li>
Own the architecture and roadmap for scalable data models covering customers, payments, transactions, settlements, and financial reporting</li><li>
Architect solutions across Snowflake, AWS RDS, and AWS DynamoDB, integrating sources from AWS S3</li><li>
Lead the design of data dictionaries, semantic layers, and data catalogs that power both human and AI-driven analytics</li></ul><p><b>
Data Quality, Governance &amp; Standards</b></p><ul><li>
Set and evangelize engineering standards, patterns, and best practices, and drive their adoption across the organization</li><li>
Establish frameworks for data quality and integrity through testing, monitoring, and documentation</li><li>
Support regulatory and financial reporting needs &mdash; reconciliation, audit readiness &mdash; with accurate, well-governed data</li></ul><p><b>
Business Partnership &amp; Enablement</b></p><ul><li>
Partner with senior leaders across Product, Finance, Risk, and Operations to define key metrics and enable insights, dashboards, and predictive models</li><li>
Translate ambiguous business strategy into data and AI solutions that scale with company growth</li><li>
Put AI-powered, self-service insights in the hands of every team</li></ul><p><b>
Technical Leadership &amp; Mentorship</b></p><ul><li>
Set technical direction that improves visibility into payment performance and revenue drivers</li><li>
Mentor and coach engineers through design reviews, pairing, and code review</li><li>
Coach the team on using AI coding and analytics assistants to accelerate development and documentation</li><li><b>How You'll Use AI</b></li></ul><p>
This role treats AI as core infrastructure, not a side project. You'll apply generative AI and large language models (e.g., Claude) to accelerate data transformation, documentation, and metric definition, and to enable natural-language access to enterprise data. You'll architect retrieval-augmented generation (RAG) and semantic search over enterprise data so trusted datasets are easily discoverable and queryable by both humans and AI systems. You'll design, build, and operationalize AI/ML workflows &mdash; from feature engineering to LLM-powered pipelines &mdash; that turn analytics into predictions and automation. And because AI-generated insight is only as good as its validation, you'll establish the responsible AI practices &mdash; around bias, hallucination, and data privacy &mdash; that ensure AI outputs are checked before they influence a financial decision. You'll also coach the broader team on using AI coding and analytics assistants to work faster and document better.</p><p></p><p><b>
 </b><b>What You Bring</b></p><ul><li>
5+ years in analytics engineering, data analytics, or data engineering, including senior or lead responsibilities</li><li>
Expert SQL and data analytics skills, with proven ability to model complex datasets (fact/dimension modeling, star schemas) and design data architecture end to end</li><li>
Deep experience with data warehousing (Snowflake) and transformation frameworks like Coalesce, including establishing team conventions</li><li>
Experience building and owning metrics layers or semantic models used across multiple teams</li><li>
Strong command of ELT pipelines, data orchestration, and Python for data processing and automation</li><li>
Extensive hands-on experience applying generative AI and LLMs to real data and analytics problems in production</li><li>
Strong experience with RAG, embeddings, and vector databases, plus a solid ML and MLOps foundation</li><li>
A track record of technical leadership and mentorship, with a critical eye for data accuracy and AI-generated results</li><li>
Payments, fintech, financial services, or enterprise SaaS experience strongly preferred</li><li>
Skill at influencing and communicating with senior technical and non-technical stakeholders</li><li>
Nice to have: advanced data science/ML experience, LLM fine-tuning or benchmarking, agentic AI workflows, event-driven or streaming architectures, and hands-on knowledge of payments concepts like authorization/settlement, interchange, chargebacks, and reconciliation.</li></ul><p><b>
 </b><b>Compensation</b></p><div>
</div><p>We offer a competitive executive compensation package, including:</p><ul><li>
Base salary ($132,800 - $196,500)</li><li>
Performance incentive</li><li>
Equity opportunities
</li><li>Comprehensive health, retirement, and lifestyle benefits</li></ul><p>
This role is about more than compensation, it&rsquo;s about the opportunity to transform how small businesses thrive in the digital economy.</p></div><p></p>

Senior AI Data Analytics Engineer

Peraton

<div><div><h5 class="jobSectionHeader"><b>About Peraton</b></h5>
<p>Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</p>
</div><div><h5 class="jobSectionHeader"><b>About The Role</b></h5>
<div><p>The Project Management Office for Aircraft Survivability Equipment (PMO ASE) is seeking a highly motivated and analytical Data and Analytics Engineer. This role is critical to the development, testing, and fielding of advanced survivability systems that protect Army aviators and rotary-wing aircraft from emerging global threats.</p>
<p>The successful candidate will leverage deep technical expertise in engineering, physics, optics, and statistical analysis to evaluate sensor performance, countermeasure effectiveness, and overall system reliability. This role requires extensive travel to government test ranges, contractor facilities, and military installations to actively participate in test events, oversee data collection, and provide analytical and forensic insights to inform decision-makers.</p>
<p>Key Responsibilities</p>
<ul><li>Data Analysis &amp; Modeling: Perform rigorous statistical data analysis on complex datasets derived from lab, flight, and field testing of ASE systems (e.g., missile warning systems, laser detection systems, and infrared countermeasures).</li>
<li>Physics &amp; Optics Application: Apply principles of physics and optics to evaluate the performance of electro-optical/infrared (EO/IR) sensors, laser warning receivers, and directed energy countermeasures against simulated and live threats.</li>
<li>Test &amp; Evaluation Support: Travel to support developmental and operational testing. Ensure data collection methodologies are sound and that data pipelines from test events are established and maintained.</li>
<li>Algorithm Evaluation: Analyze and validate threat detection algorithms, tracking software, and countermeasure dispensing logic using historical and newly collected test data.</li>
<li>Reporting &amp; Visualization: Develop data visualization dashboards and comprehensive technical reports to communicate system performance, anomalies, and risk assessments to PM ASE leadership and stakeholders.
</li><li>Cross-Functional Collaboration: Work closely with systems engineers, flight test crews, software developers, and industry partners to translate data insights into actionable system improvements.</li>
</ul></div></div><div><h5 class="jobSectionHeader"><b>Qualifications</b></h5>
<div><ul><li>Education: Bachelor of Science (B.S.) or higher degree in Engineering (e.g., Aerospace, Electrical, Optical, Systems, or a closely related discipline) from an ABET-accredited institution + 2 years of experience.</li>
<li>Clearance: Active Secret or the ability to receive Secreat Clearance.</li>
<li>Technical Skills: Proficiency with data analysis and scientific computing tools (e.g., Python, MATLAB, R, or similar) to process large datasets, perform statistical modeling, and generate data visualizations.</li>
<li>Travel Capability: Must be willing and able to travel to support nationwide test events, often in remote field environments.</li>
<li>Communication: Excellent written and verbal communication skills, with the ability to distill complex mathematical and physical concepts into clear, actionable briefings for leadership.</li>
</ul></div></div><div><h5 class="jobSectionHeader"><b>Details</b></h5>
<div><p><b>Target Salary Range:</b> $80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.</p>
</div><div><p><b>Benefits Statement:</b> Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.</p>
</div><div><p><b>Application Statements:</b> The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.</p>
</div><p><b>EEO:</b> Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</p></div></div><div></div>

Data and Analytics Engineer

Apple

<p>Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Product Marketing Customer Analytics team is seeking a engineer to support customer analytics with advanced, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science.<br>
<br>
<b>Description</b><br>
<br>
Develop and automate large scale, high-performance, scalable platform (batch and/or streaming) to drive faster analytics<br>
<br>
Ability to design large-scale, complex applications and frameworks with excellent run-time characteristics such as low-latency, fault-tolerance and availability<br>
<br>
Experience in building and maintaining custom frameworks to support engineering/analytics needs<br>
<br>
Knowledge of continuous integration, testing methodologies, TDD and agile development methodologies.<br>
<br>
Partner with analytic consumers and data scientists to build and improve new/existing constructs and solve data engineering problems at scale.<br>
<br>
Experience in building data pipelines in Spark, Trino, lakehouse or similar distributed platforms &amp; Snowflake.<br>
<br>
Deploy inclusive data quality checks to ensure high quality of data.<br>
<br>
Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.<br>
<br>
Structured thinking with ability to easily break down ambiguous problems and propose impactful solutions.<br>
<br>
Applying Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities<br>
<br>
Communication Strong documentation and technical writing skills.<br>
<br>
Attention to detail and effective verbal/written communication skills.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
3+ years of experience in data engineering and ETL pipeline development<br>
<br>
2+ years of experience in Big Data Technologies (Spark,Lakehouse,Trino)<br>
<br>
Experience on Kubernetes, Docker preferred.<br>
<br>
Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs<br>
<br>
Experience with creating and consuming Model Context Protocol (MCP) services<br>
<br>
Snowflake knowledge<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
3+ years of relevant Engineering experience<br>
<br>
Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required.<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Product Marketing Customer Analytics Engineer

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