business intelligence engineer

Kirkland & Ellis

<div>About Kirkland &amp; Ellis
At Kirkland &amp; Ellis, we don&rsquo;t just meet the standard for legal excellence &mdash; we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers&rsquo; commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You&rsquo;ll Do
Are you passionate about turning complex data into meaningful insights that drive business decisions?
As a Business Intelligence Data Modeler Engineer II, you&rsquo;ll play a critical role in shaping how data is structured, accessed, and for enterprise business intelligence. Partnering closely with business analysts, data engineers, and business stakeholders, you&rsquo;ll design and support development of data models that power reporting, analytics. This role blends technical expertise with business insight, giving you the opportunity to influence how data supports enterprise-wide decision-making.<div><ul><li> 
Data Modeling Design: Create and maintain conceptual, logical, and physical data models that support reporting and analytics across enterprise systems.</li><li>Business Partnership: Collaborate with stakeholders to translate business needs into scalable data structures and solutions.</li><li>ETL Development Support: Contribute to the design of Extract, Transform, Load (ETL) processes to ensure efficient data movement into Business Intelligence (BI) platforms and warehouses.</li><li>Data Quality &amp; Validation: Implement checks and rules to ensure data accuracy, consistency, and reliability across systems.</li><li>Performance Optimization: Continuously monitor and refine data models and database performance for efficient querying and reporting.</li><li>Documentation &amp; Governance: Maintain clear documentation of models, schemas, and data flows while adhering to data governance standards.</li><li>Data Security: Help design access controls and security measures to protect sensitive data.</li><li>Advanced Querying: Develop and utilize Structured Query Language (SQL) queries for ad hoc analysis, troubleshooting, and data validation.</li><li>Agile Collaboration: Participate in Agile workflows across analysis, development, quality assurance (QA), and user acceptance testing (UAT) phases as a data subject matter expert.</li><li>Domain Expertise: Build strong knowledge of business systems and data domains to support strategic initiatives.</li><li>Continuous Learning: Stay current with evolving technologies and industry trends in data modeling and analytics.</li></ul></div> 
What You&rsquo;ll Bring
<ul><li>Education: Bachelor&rsquo;s degree in computer science, a related field, or equivalent practical experience.</li><li>Experience: 7+ years of experience in data modeling, data warehousing, and ETL processes.</li></ul><div>
Required 
<ul><li>Data Modeling Expertise: Strong Hands-on experience of dimensional modeling, fact tables, star/snowflake schemas, slowly changing dimensions (SCDs), and tools like Erwin.</li><li>Technical Skills: Expertise with SQL (including Transact-SQL) and deep experience with relational database systems such as Microsoft SQL Server.</li><li>Data Engineering Knowledge: Experience with data pipelines using ETL or Extract, Load, Transform (ELT) techniques and tools such as Azure Data Factory (ADF) to load data into analytics data marts, data warehouses and data lakes. Experience with analytics data platforms such as Azure Synapse Analytics, OneLake or Microsoft Fabric.</li><li>Analytics &amp; BI Tools: Familiarity with Business Intelligence (BI) platforms such as Microsoft Power BI and Qlik Sense, and experience supporting enterprise reporting.</li><li>Programming &amp; Scripting: Exposure to Python, PySpark, Databricks, or programming languages like Java or C# is a plus.</li><li>Data Governance &amp; Security: Understanding of data governance principles, access controls, and data protection best practices.</li><li>Business Acumen: Experience working with operational analytics domains such as Human Resources (HR), Finance, or Risk Management; professional services industry experience is a plus.</li><li>Collaboration &amp; Communication: Strong problem-solving, interpersonal, and communication skills with the ability to work cross-functionally.</li><li>Work Style: Highly organized, self-motivated, and able to thrive in a fast-paced, Agile project environment managing multiple priorities.</li></ul></div>
If you&rsquo;re ready to help shape how data drives smarter decisions and deliver impactful insights as a Business Intelligence Data Modeler Engineer II, we&rsquo;d love to hear from you! 
Compensation
The base salary range below represents the low and high end of the salary range for this position in Chicago. This range may differ based on your geographic location and cost of living considerations. At Kirkland &amp; Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $116,000 - $144,000
How to Apply
Thank you for your interest in Kirkland &amp; Ellis LLP. To complete an application and submit your resume, please click &quot;Apply Now.&quot;
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee&rsquo;s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-CF1</div>

Business Intelligence Data Modeler Engineer II

Wells Fargo

<div>Description
Title:Data Analytics Engineer
Location: Chandler, AZ
Duration: 104 W, 2 D
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
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.
Key Requirements:<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>
PowerBI development</li><li>
Github,</li><li>
SQL Query,</li><li>
Data visualization</li></ul></div>

Data Analytics Engineer (contract)

Intellibee Inc

<div><div><div>Skills:<ul><li>
BI Engineer with Client facilitation experience;
</li><li>Design and documentation experience;
</li><li>PM experience;
</li><li>SQL: Intermediate
</li><li>Databricks;
</li><li>Tableau;
</li><li>SAFe Agile;
</li><li>Translates business requirements into sprint-ready stories, sets acceptance criteria, and makes scope decisions on behalf of the domain.</li></ul>
Benefits at IntelliBee<ul><li>
Long-Term Stability: Join us on a multi-year opportunities with room to grow.</li><li>
Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well.</li><li>
Future Planning: Enroll in our 401(k) program and invest in your financial security.</li><li>
GC Assistance: We support immediate Green Card processing, if required.</li></ul></div></div></div>

Business Intelligence with ETL Databrick, Tableau

Hospital for Special Surgery

<div>How you move is why we&rsquo;re here. &reg;
 
Now more than ever. 
 
Get back to what you need and love to do.
 
The possibilities are endless...
 
 
Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success.
 
 
If this describes you then let&rsquo;s talk!
 
 
HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News &amp; World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment. 
 
Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise.
Emp Status
Regular Full time
Work Shift
Compensation Range
The base pay scale for this position is $99,000.00 - $150,750.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future.
<h1 class="jobSectionHeader">What you will be doing
</h1>About Us
 
We are transforming musculoskeletal healthcare through intelligent, scalable data products. Our Enterprise Analytics team empowers clinicians, researchers, and operational leaders with timely, trusted insights. We operate in cross-functional Product-Oriented Delivery (POD) teams, using modern data platforms like Databricks and Sigma Computing to turn data into action.
 
We are seeking a Business Intelligence Developer (L2) to help build intuitive, high-impact data products in Sigma Computing and Databricks. You will be responsible for turning structured data into interactive, user-centered workbooks and apps that drive decision-making across clinical, financial, and operational domains.
The Role
You will be the technical builder of analytics experiences&mdash;designing and developing experiences that are performant, reusable, and aligned with real user needs. You&rsquo;ll work within a POD to deliver data products that go beyond static dashboards to become embedded tools in daily workflows.
Success in this role means building products that users adopt quickly, trust deeply, and rely on consistently&mdash;while adhering to enterprise standards for security, performance, and maintainability.
Key Responsibilities
<ul><li>Design, develop, and maintain production-grade workbooks in Sigma and Databricks that deliver actionable insights to stakeholders.
</li></ul><ul><li>Translate complex data models (from Databricks) into intuitive, performant visualizations with clear narratives.
</li></ul><ul><li>Write clean, well-documented formulas using Sigma&rsquo;s calculation engine (aggregations, conditionals, time-series logic).
</li></ul><ul><li>Ensure adherence to row-level security and access controls in alignment with HIPAA and data governance policies.
</li></ul><ul><li>Partner with Product Managers, Analytics Engineers, and Clinical Informaticists to refine requirements and validate outputs.
</li></ul><ul><li>Establish and follow BI development standards (e.g., consistent metrics, reusable components, version control).
</li></ul><ul><li>Identify opportunities to productize recurring analytics and reduce redundancy across the ecosystem.
</li></ul><ul><li>Participate in agile ceremonies as a core member of a POD&mdash;contributing to planning, reviews, and retrospectives.
</li></ul>Qualifications
Required
<ul><li>2+ years of experience in business intelligence or data visualization.
</li></ul><ul><li>Proven fluency in Sigma Computing &mdash;you&rsquo;ve built complex, production-grade workbooks from scratch.
</li></ul><ul><li>Strong understanding of relational data models and SQL (you can debug query logic when needed).
</li></ul><ul><li>Experience working in agile, cross-functional teams (e.g., product, engineering, clinical).
</li></ul><ul><li>Familiarity with cloud data platforms (AWS, Databricks, etc.).
</li></ul><ul><li>Demonstrated ability to work independently, prioritize tasks, and deliver iteratively.
</li></ul><ul><li>Solid understanding of data governance, including data quality, access control, and documentation.
</li></ul>Preferred
<ul><li>Experience in healthcare analytics (clinical, financial, or operational).
</li></ul><ul><li>Experience with migrating legacy dashboards to Sigma or similar modern tools.
</li></ul><ul><li>Background in product thinking &mdash;you&rsquo;ve helped define what to build, not just how to build it.
</li></ul><ul><li>Experience setting BI best practices or leading standards in a prior role.
</li></ul>Why Join Us?
<ul><li>Be a key contributor to the evolution of our analytics platform&mdash;from reporting to productized insights.
</li></ul><ul><li>Work in a mission-driven environment focused on improving musculoskeletal care.
</li></ul><ul><li>Collaborate with experts in data engineering, clinical informatics, and product management.
</li></ul><ul><li>Grow into a leadership role shaping the future of BI and data applications at scale.
</li></ul>Non-Discrimination Policy
 
Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.</div>

Business Intelligence Developer

ANDHealth

<div><h2 class="jobSectionHeader">Analytics Engineer, Care Operations</h2>
Full Time &ndash; Exempt
Columbus, Ohio 
AndHealth is on a mission to radically improve access and outcomes for the most challenging
chronic health conditions, with the goal of making world-class specialty care accessible and affordable to all. We partner with health systems, community health centers, and independent practices to remove barriers to care to ensure all people have access to the care they deserve.
None of that happens without good data. Every model we build, every intervention we design, and every conversation our care teams have with a partner is only as strong as the data behind it. That's where you come in.
About the role
We're looking for an Analytics Engineer to be the dedicated data partner to our Care Delivery team &mdash; the people on the front lines of getting patients into care and keeping them there. You'll take raw clinical and operations data and turn it into something a care leader can actually use: a trusted number on a dashboard, a governed metric everyone agrees on, a model that surfaces a problem before it becomes a crisis.
This is an embedded data partner role that sits close to Care Delivery. You'll be just as comfortable deep in a dbt model or a gnarly SQL query as you are in a room with a VP, translating what the data means and what to do about it. If you like owning a domain end to end &mdash; from the metric definition in the semantic layer to the dashboard a leader checks every morning &mdash; this role is for you.
Impact
The dashboards and data products you build will directly shape how AndHealth delivers care to thousands of patients managing chronic, often life-altering conditions. When you catch a data quality issue before it reaches a report, you're protecting the integrity of decisions that affect real people's access to care. When you build the semantic layer that lets an analyst self-serve a trusted metric instead of waiting on you, you're multiplying the entire team's ability to act. This isn't dashboards for dashboards' sake &mdash; it's the infrastructure that lets Care Operations see what's working, fix what isn't, and prove the value we bring to the partners and patients who depend on us. 
 
What you'll do:<ul><li>
Translate business decisions into metrics &mdash; work with stakeholders to understand the decision they're trying to make, help them articulate what they need, and define the governed metric that answers it.</li><li>
Partner with stakeholders from several teams to generate actionable insights that improve AndHealth's value to our partners and patients.</li><li>
Build internal and external reporting and dashboards that visualize what's happening, why it's happening, and what we should do next across pharmacy and care operations.</li><li>
Develop the semantic layer in dbt &mdash; defining governed metric definitions, curated datasets, and self-service data products that analysts and stakeholders can consume directly.</li><li>
Partner with Data and Software Engineering as a key consumer of the raw data &mdash; flagging upstream data quality issues and gaps, and helping shape staging transformations so data arrives in a usable form.</li><li>
Build a thorough testing suite across the data platform: schema tests, data quality checks, anomaly detection, and SLA monitoring so stakeholders can trust what they see.</li><li>
Partner with the client management team to build the value story for quarterly business reviews.</li><li>
Become a domain expert in your assigned area (care operations), translating business logic into accurate, scalable dbt data models.</li><li>
Proactively identify data quality issues, gaps in coverage, and opportunities to improve the reliability and usability of the data platform.</li></ul> 
Education &amp; Licensure Requirements:<ul><li>
Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.</li></ul> 
Other Skills or Qualifications:<ul><li>
6+ years of data analysis or related experience with significant experience partnering directly with business stakeholders.</li><li>
Proven ability to turn ambiguous business questions into concrete, governed metric definitions &mdash; comfortable leading the discovery conversation with stakeholders rather than just executing a spec.</li><li>
Strong analytical instincts &mdash; able to interrogate data, identify anomalies, trace them to their source, and communicate findings clearly to technical and non-technical audiences.</li><li>
Strong SQL proficiency &mdash; complex queries, CTEs, window functions, and performance-optimized transformations across large datasets.</li><li>
Hands-on experience with dbt (Core or Cloud) &mdash; preferred.</li><li>
Comfortable working within a dimensionally modeled warehouse &mdash; facts and dimensions, mart layers, and why transformations are separated into staging, intermediate, and mart layers &mdash; even if you haven't owned that architecture from the ground up.</li><li>
Experience creating reporting systems and visualizations; advanced experience with Excel and other data systems.</li><li>
Comfort working alongside ETL/ELT pipelines and partnering with data or software engineers on ingestion.</li><li>
Experience with a BI tool (Omni, Looker, Metabase, or similar), especially defining governed metrics and data products &mdash; preferred.</li><li>
Familiarity with healthcare data (clinical, pharmacy, billing, or claims from EHRs, TPAs, or pharmacy operating systems) &mdash; preferred.</li><li>
Advanced data modeling experience &mdash; designing non-trivial dbt/SQL models that encode real business logic.</li><li>
Experience with R or Python or another scripting language in data analysis work &mdash; preferred.</li><li>
Comfort working in ambiguous, fast-moving environments with competing priorities.</li></ul> 
Here's what we'd like to offer you:<ul><li>
Equal investment and support for our people and patients.</li><li>
A fun and ambitious growing environment with a culture that takes on important things, takes risks, and learns quickly.</li><li>
The ability to demonstrate creativity, innovation, and conscientiousness, and find joy in working together.</li><li>
A team of highly skilled, incredibly kind, and welcoming employees, every one of whom has something unique to offer.</li><li>
We know that the overall success of our business is a collaborative effort, and we strive to provide ongoing opportunities for our employees to learn and grow, both personally and professionally.</li><li>
Full-time employees are eligible to participate in our benefits package which includes Medical, Dental, Vision Insurance, Paid time off, Short- and Long-Term Disability, 401k match and more.</li></ul> 
We are an equal opportunity and affirmative action employer. We embrace diversity and are committed to creating an inclusive environment for all employees. Applicants will be considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, disability, or veteran status.
2lXGu4dNqn</div>

Analytics Engineer, Care Operations

LTC Solutions, LLC

<div>LTC Solutions, LLC is a small business with a huge commitment to supporting our employees and providing quality services to our government clients. Our employees have an entrepreneurial spirit, a passion for excellence, and a proactive approach to providing the best possible solutions to our clients. If you are committed to building excellent client relationships, providing consistent superior-quality work, and taking initiative to understand your clients&rsquo; needs, we would like to meet you!

LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance).

POSITION DESCRIPTION: AI Engineering Support 

Location: Pentagon, Arlington, VA (Hybrid)

Status: Contingent Hire &ndash; Full-Time &ndash; Hybrid

Clearance: Active Top Secret/SCI Clearance Required

MUST HAVE: Demonstrated experience supporting Department of Defense data engineering, business intelligence, data governance, automated data pipelines, and enterprise analytics supporting operational decision-making.

Position Summary

The AI Engineer / Research Analyst provides mid-level data engineering, business intelligence, and applied analytics support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&amp;L), and the Global Positioning Network (GPN) Program. Working in a hybrid capacity supporting the Pentagon, the position develops and maintains data extraction, transformation, validation, and integration processes that convert raw operational data into secure, authoritative datasets supporting advanced analytics and executive decision-making.

The AI Engineer supports enterprise data engineering activities by developing automated queries, reusable data pipelines, data quality processes, and business intelligence solutions while ensuring compliance with Department of War (DoW), U.S. Marine Corps (USMC), and Department of Defense cybersecurity, records management, and data governance requirements. Working under the direction of senior analytics leadership, the position supports the development of scalable data architectures that enable predictive analytics, dashboard development, artificial intelligence, and operational reporting.

The position collaborates with Headquarters Marine Corps organizations, Government data owners, system administrators, and analytics personnel to improve data accessibility, quality, security, and enterprise reporting capabilities.

Required Qualifications
<ul>
<li>U.S. Citizen with an Active Secret security clearance and ability to obtain a CAC card.</li>
<li>Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, Data Engineering, Business Analytics, Mathematics, or a related discipline.</li>
<li>Four (4) to seven (7) years of experience supporting Department of Defense data engineering, business intelligence, database development, analytics, or enterprise information management.</li>
<li>Experience designing and developing automated data extraction, transformation, and loading (ETL/ELT) processes.</li>
<li>Experience writing complex SQL queries and developing reusable database scripts.</li>
<li>Experience using Python, SQL, and data transformation libraries for automation and data preparation.</li>
<li>Experience developing secure data pipelines and preparing authoritative datasets for reporting and analytics.</li>
<li>Experience supporting enterprise data governance, metadata management, and data quality initiatives.</li>
<li>Working knowledge of Department of Defense cybersecurity requirements, secure data handling procedures, and records management practices.</li>
<li>Experience supporting business intelligence environments using Power BI, Tableau, Microsoft Fabric, or similar reporting platforms.</li>
<li>Strong analytical, technical writing, communication, and organizational skills.</li>
</ul>
Preferred Qualifications
<ul>
<li>Master's degree in Data Science, Information Systems, Computer Science, Software Engineering, Business Analytics, or a related discipline.</li>
<li>Experience supporting Headquarters Marine Corps, Department of the Navy, Joint Staff, or other Department of Defense headquarters organizations.</li>
<li>Experience designing enterprise data warehouses, reporting architectures, or business intelligence platforms.</li>
<li>Experience with Azure Data Factory, Microsoft Fabric, Databricks, Snowflake, or equivalent enterprise data engineering platforms.</li>
<li>Experience supporting DevSecOps, CI/CD pipelines, Git, or Azure DevOps.</li>
<li>Familiarity with artificial intelligence and machine learning data preparation techniques.</li>
<li>Experience implementing enterprise data governance frameworks and data catalog solutions.</li>
<li>Knowledge of DoD Zero Trust Architecture, RMF, and cybersecurity compliance requirements.</li>
</ul>
Primary Duties
<ul>
<li>Develop and maintain automated data extraction, transformation, validation, and loading (ETL/ELT) processes supporting GPN analytics and enterprise reporting.</li>
<li>Create and optimize complex SQL queries, stored procedures, and reusable scripts that automate recurring data collection and reporting activities.</li>
<li>Develop secure, reusable data pipelines that prepare authoritative datasets for analytics, artificial intelligence, business intelligence, and executive reporting.</li>
<li>Validate, cleanse, normalize, and integrate structured and unstructured data from multiple Government information systems.</li>
<li>Implement enterprise data quality controls, validation routines, reconciliation processes, and metadata documentation to improve data integrity.</li>
<li>Support development and maintenance of enterprise business intelligence architectures, reporting databases, and visualization back-end environments.</li>
<li>Prepare datasets supporting predictive analytics, machine learning models, simulation activities, and operational research efforts performed by senior AI engineers and data scientists.</li>
<li>Collaborate with Government stakeholders to define data standards, business rules, data dictionaries, and governance policies.</li>
<li>Ensure compliance with Department of War (DoW), U.S. Marine Corps (USMC), Department of Defense cybersecurity policies, records management requirements, and enterprise data governance standards.</li>
<li>Document database structures, transformation logic, automated workflows, technical procedures, and data lineage supporting long-term sustainment.</li>
<li>Assist with troubleshooting data quality issues, system integration challenges, and reporting inconsistencies.</li>
<li>Support implementation of secure data architectures that improve availability, reliability, scalability, and performance of analytical systems.</li>
<li>Coordinate with AI Engineers, Data Analysts, Business Intelligence developers, Government personnel, and system administrators to support enterprise analytics initiatives.</li>
<li>Participate in configuration management, version control, testing, deployment, and continuous improvement of enterprise data engineering solutions.</li>
<li>Perform additional data engineering, business intelligence, analytics, automation, and governance duties necessary to accomplish contract requirements.</li>
</ul>
Preferred Technical Skills
<ul>
<li>Python</li>
<li>SQL</li>
<li>Power BI</li>
<li>Tableau</li>
<li>Microsoft Fabric</li>
<li>Azure Data Factory</li>
<li>Azure Synapse Analytics</li>
<li>Databricks</li>
<li>Snowflake</li>
<li>PostgreSQL</li>
<li>Microsoft SQL Server</li>
<li>Git</li>
<li>Azure DevOps</li>
<li>ETL/ELT Development</li>
<li>Data Warehousing</li>
<li>REST APIs</li>
<li>JSON/XML</li>
<li>Data Governance</li>
<li>Metadata Management</li>
<li>Data Lineage</li>
<li>RMF</li>
<li>Zero Trust Architecture</li>
</ul>
LTC Solutions 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, or veteran status.</div>

AI Engineering Support US Citizens only, active TS/SCI clearance required

Pretium Packaging

<div>Grow boldly with Pretium and be a data and automation innovator!

About Us: 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.

We are looking for an Analytics Data Engineer 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. 
 
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.

Remote location. 15% travel

What you&rsquo;ll own:
<ul>
<li>Analytics Engineering</li>
<li>Data Quality and Governance</li>
<li>Analytics Platform Support</li>
</ul>
What you&rsquo;ll bring:
<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>
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>

Sr Analytics Data Engineer

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