Expect to have your expectations exceeded.

People ask us what Moser Consulting does. But we like to frame our answer by saying what we think you deserve instead. Exceptional talent with an uncanny ability to self-manage. Consultants who walk in the door with a focus not only on your technology – but on your business. It’s true: at Moser Consulting, our standards are incredibly high. But when it comes to your organization and your data, shouldn’t they be?

Founded in 1996, Moser Consulting, Inc. is an Indianapolis-based technology solutions company focused on 5 Practices:  Big Data, Managed Services, IT Consulting Services, Application Development, and Learning Services.  

Our core focus areas:
 
Big Data
With dedicated and certified (Cloudera and Hortonworks) engineers, our proven team is ready to illuminate the confusing path of this rapidly changing landscape. Whether you are just investigating or already have a production implementation in place, our experts can maximize the value in your data and open up new possibilities for your approach to business. 
 
Managed Services
Moser Managed Services provides professional data, software and hardware support that transitions technology management responsibility from the client to Moser Consulting. 
 
IT Consulting Services
Our industry-proven experts will advise you on how to use technology that best achieves your business objectives. Moser Consulting can provide you with management, implementation, deployment, and administration of your systems.
 
Application Development
Custom web development allows businesses to use technology without compromise - the user experience of your online brand is exactly as you specify.  Your custom software seamlessly flows from your existing business processes.
 
Learning Services
We believe that training is often part of the solution to business problems, so we incorporate a huge array of services and products to help your employees become more productive.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

Moser Consulting

Savvy Admin PROD

About MoserFor more than 25 years we have formed partnerships and grown through open and honest collaboration with our clients, partners, and employees. We are best known for taking great care of our clients, our dedication to creating a work environment where employees do their best work, and our deep commitment to continuous improvement. Our consultants work in a collaborative and fast-paced environment, are self-motivated, and are passionate about evolving technology. It is no accident that we are recognized as one of the Best Places to Work in Indiana for 10 consecutive years.

Internally, we believe in building strong teams from the top down with a focus on values in our Model-Coach-Care philosophy. Our leadership are encouraged and trained to model good practices, mentor other employees and each other, and show empathy and caring in all interactions. This is the base of our core values: Accountability, Balance, Collaboration, Focus, Integrity, Social Responsibility, Support and Transparency.

Moser Consulting believes in equal opportunity for all people and is committed to enabling a diverse, equitable, and inclusive culture. We foster a spirit of unity that respects the remarkable individuality of everyone's culture, history, and service.

DescriptionWe are seeking an AI/ML/Data engineer with several years of technical experience building production-grade solutions. This role blends AI/ML engineering, data engineering, and software engineering to support clients across a variety of industries. You will deliver within cloud, on-prem, or hybrid environments (depending on client content) to engineer, deploy, and maintain end-to-end AI/ML systems. You will collaborate with a technical lead, engineers, analysts, and domain stakeholders while building reusable patterns and contributing to a growing Data Intelligence capability.

Role Responsibilities~~**Artificial Intelligence / Machine Learning Engineering: ** ~~

- Design, implement and deploy production-grade machine learning models and systems using modern MLOps practices. Deliverables will span from classical ML to Gen AI.

- Prepare datasets, feature pipelines, evaluation scaffolding, experiment tracking, and model packaging.

- Implement model inference services, deployment workflows, and monitoring mechanisms.

- Projects may range from data ingestion and transformation to model serving and application integration.

- Responsibilities will include debugging, performance tuning, and failure analysis across data and model layers.

- Collaborate with domain experts to translate analytical requirements into highly performant ML services and reusable solution patterns.Implement model governance and reproducibility standards, ensuring models are versioned.

**Data Engineering: **

- Build ingestion, transformation, and storage pipelines for analytical and ML workflows.

- Ensure data quality and integrity by implementing data validation and cleansing processes.

- Tasks may involve evaluating tradeoffs among tools, architectures, and modeling approaches.

- Leveraging SQL and python data tooling develop scalable, optimized ETL/ELT pipelines to ingest, transform, and load large, complex datasets from disparate sources (batch and streaming). Streamlining for low latency, high throughput and cost-efficiency.

**Software Engineering: **

- Write modular, testable, and maintainable codebases that follow idiomatic patterns.

- Build APIs, services, and components that integrate models into applications.

- Use containers, CI/CD (defining, maintaining), and automated testing to ensure reliability.

- Documentation will include diagrams, reasoning, assumptions, and operational instructions.

~~**Collaboration & Communication: ** ~~

- Work closely w/ a technical lead or senior consultant to align execution with architectural direction and best practices.

- Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.

- Proven ability to foster a collaborative and positive team environment, contributing to team success.

- Proven ability to explain complex concepts to non-technical collaborators.

- Proven ability to break down requirements into clear actionable steps.

- Ability to work with clients to ensure smooth and successful implementation, delivery and deployment of AI/ML and other relevant data solutions.

- Communication and collaboration: Excellent verbal and written communication skills.

Requirements

- Communication and collaboration: Excellent verbal and written communication skills.

- A solid understanding of statistical analysis, data modeling and data visualization techniques.

- Excellent time management and organizational skills.

- Advanced proficiency in SQL; expertise in performance tuning and optimization of SQL queries required.

- Strong understanding of ETL/ELT fundamentals and orchestration tools.

- Familiarity with data preprocessing, feature engineering, and model evaluation techniques.

- Proficiency in Python and SQL with strong grounding in data structures and software fundamentals.

- Strong understanding of software engineering practices including version control, testing, module design, and code clarity.

- Expertise in ML, MLOps, and applied AI in production environments.

- Location: Indianapolis, IN.  United States required.

Preferred Skills

- Bachelor's, Master's, or Ph.D. degree in Computer Science, Data Science, or a related field.

- Minimum 3 - 5 years of experience working with Machine Learning models.

- Must be able to operate effectively in secure, high-compliance, or limited-tooling environments (e.g. no code assistants, on-prem pipelines, locked-down VMs).

- Demonstrated ability to adapt quickly to new technology stacks and client-specific coding standards.

- Working knowledge of ML frameworks and libraries, such as: PyTorch, TensorFlow, and scikit-learn.

- Analytical mindset: Strong problem-solving skills, with the ability to analyze complex data and derive actionable insights.

- History of designing idempotent data workflows that can gracefully handle failures and restarts without data duplication or corruption.

- Proven expertise in at least one major cloud platform (AWS, Azure, Snowflake or GCP) utilizing services for compute, data warehousing.

- History in leverage enterprise platforms (e.g., AI Foundry or similar) to securely containerize and deploy models, ensuring robust endpoint protection, managed identity access, and compliance with organizational security standards.

- Relevant Certifications are beneficial.

Where You'll WorkYou will need to be able to work a hybird/onsite schedule out of the Indianapolis, IN area. This position would sit at a client site up to 3 days a week.

SalaryAt Moser Consulting, we believe in pay transparency and fairness. The $120k-$155k salary range for this role is not just a number—it’s a reflection of the value we place on the skills and experience our employees bring to our team. We are committed to offering a competitive salary that aligns with the industry standards and the unique competencies you bring to our community.

BenefitsFor over a quarter of a century, Moser Consulting has been a beacon for top-tier IT talent who excel in self-management. Our people are our greatest asset. We don’t just hire the best—we welcome them into our family, connect them with opportunities, and empower them to create innovative solutions to technology challenges.

Our unique culture is our competitive edge. It fosters happiness, health, and low stress, even in an industry known for its demands. This is why we’re consistently recognized as one of the Best Places to Work in Indiana. We provide our employees with an inspiring workspace, a fun and collaborative atmosphere, and a generous compensation package. But that’s not all.

We also offer a suite of benefits designed to support and enrich our employees’ lives. These include:

- Training      Opportunities: We believe in lifelong learning and provide numerous      avenues for skill enhancement.

- Fully      Invested 401K Plan: We help secure your future with a fully invested 401K      plan.

- PPO      and HDHP Medical Plans: Choose the health insurance program that best fits      your needs.

- Employer-Paid      Dental and Vision Plans: We cover dental and vision plans, ensuring our      employees have access to comprehensive health care.

- Onsite      Fitness Center: Stay fit and healthy with our state-of-the-art fitness      center.

- Wellness      Program: We promote a healthy lifestyle with our wellness program.

- Catered      Lunches: Enjoy delicious catered lunches regularly.

At Moser Consulting, we don’t just offer jobs—we offer careers, growth, and a chance to join a thriving community. Come, be a part of our family.

Moser Consulting 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 status as a professional.

Machine Learning (ML) / Data Engineer

Pelago is the world’s leading virtual clinic for substance use management. 

We are transforming substance use support—from prevention to treatment—delivering education, management skills, and opportunities for positive change to members struggling with substance use, most commonly tobacco, alcohol, opioids, and cannabis. 

Our solution gives employers the means to offer on-demand, personalized support to workers seeking to live healthier lives. Pelago’s cognitive behavioral therapy (CBT) and medication-assisted treatment (MAT) programs deliver convenient, accessible, and effective support that seamlessly integrates with health plans, pharmacy benefit managers, and wellness platforms. 

Visit www.pelagohealth.com for more information.

Industry: Hospitals and Health Care
Company Size: 51-200 employees

Pelago

Pelago is the world’s leading virtual clinic for Substance Use Management. Our program provides guidance, support and treatment for members seeking to overcome their tobacco, alcohol and opioid use. From unhealthy habits to active substance use disorders, Pelago delivers a personalized solution based on individual health, habits, genetics, and goals, providing care for members wherever they might be on the substance use spectrum.

Pelago's suite of virtual services ranges from education, to cognitive behavioral therapy (CBT) to comprehensive medication-assisted treatment (MAT). Pelago enables employers and health plans to deliver accessible, affordable, and effective treatment for substance misuse.

Pelago has scaled to helping hundreds of employers and health plans and has already helped more than 750,000 members manage their substance use better. We have recently closed our Series C and raised over $151m from leading global investors. If you are passionate about making an impact on the health of others, join us and make it happen!

**About Pelago Data**

Our Data team sits at the center of how Pelago makes decisions. As we scale, we’re evolving our data function to bridge the gap between raw data and real business insight.

We transform complex healthcare and product data into clean, reliable, and well-documented models that power reporting, experimentation, AI initiatives, and day-to-day decision-making across the company.

**Overview Of The Role**

We’re looking for an Analytics Engineer who loves building scalable data models, thinking deeply about business logic, and creating reusable data assets.

In this role, you’ll help shape how data is structured and defined across Pelago—ensuring consistency, quality, and usability for everything from dashboards to experimentation to future machine learning use cases.

**What You’ll Do**

**Build the foundation for analytics**

- Design, build, and maintain scalable dbt models for analytics and reporting

- Develop modular, well-documented transformation logic in Redshift

- Optimize performance and maintainability of transformation pipelines

- Implement testing, validation, and observability standards to ensure data quality

**Own business logic and metrics**

- Translate ambiguous business requirements into structured, reusable data models

- Define and maintain standardized KPIs and metric logic

- Own and evolve Pelago’s semantic layer to ensure consistency across teams

- Build reusable data marts for dashboards, experimentation, ROI analysis, and AI workflows

- Reduce metric inconsistencies and reporting fragmentation

**Partner across the business**

- Work closely with Data Engineering to ensure reliable upstream pipelines

- Collaborate with Product, Clinical, Client Success, Finance, and Growth teams

- Support Data Analysts with clean, analysis-ready datasets

- Contribute to documentation, data governance, and analytics best practices

**Enable advanced analytics**

- Structure data for experimentation, personalization, ROI measurement, and AI initiatives

- Prepare datasets for downstream data science and machine learning workflows

- Identify opportunities to improve analytics velocity through better modeling and abstraction

**Required**

**What We Look For:**

- 3+ years of experience in analytics engineering, data analytics, or data modeling

- Advanced SQL skills and experience building production-grade data models

- Strong understanding of data warehousing concepts and dimensional modeling

- Experience with dbt and analytics engineering best practices

- Experience working in a modern data stack (Redshift, Snowflake, or similar)

- Proven ability to translate business needs into scalable data solutions

- Experience working in cross-functional, agile environments

**Preferred**

- Experience with Looker or similar BI tools and semantic layer design

- Familiarity with healthcare data or regulated environments

- Experience supporting experimentation, ROI measurement, or product analytics

- Exposure to AI/ML data preparation or feature-ready modeling

- Experience implementing data quality testing and observability frameworks

**What You'll Love About Us**

We have a whole host of perks for our people! From life essentials to nice-to-haves, there are more than a few good reasons to love working with us. We strive to ensure Pelago employees have equitable access to healthcare, wellbeing, time away, and then some.

- Generous and meaningful equity package

- Private Health Coverage

- Pension Plan

- Unlimited PTO Policy, Bank Holidays, & company wide “Me Time Days”

- Paid maternity, paternity, & new parent leave

- Flexible working environment

- Annual Learning and Development stipend to support continued learning and career development

- Wellness Reimbursement Program

- Access to Reproductive & Family Planning Care

- Substance Use Support for employees and family members

**At this time, we are unable to offer visa sponsorship for this position.**

**Before You Apply, See How We Build.**

We write about our technical decisions, product philosophy, and the real challenges of scaling behavioral health. **Read the blog → ** https://pelagohealth.ai/

The provided range reflects our US target salary range for this full-time position, which is part of our broader total compensation package, including incentive bonus program, stock options, comprehensive benefits, and incentive pay applicable to eligible roles. Individual pay within the range will vary based on a variety of factors like role-related experience and education, internal pay equity, and other relevant business factors. At Pelago, we are committed to an equitable and fair pay philosophy and review total compensation for our employees at least twice a year.

Base Pay Range

$150,000 - $160,000 USD

Data Analytics Engineer

Your personal information is available for public consumption. This makes you–and the organization you work for–an easy target for abuses ranging from identity theft, robocalls, and spam texts to social engineering, and executive and employee threats. DeleteMe removes unwanted instances of personal information from online sources; making it simple for our customers to keep their personal data from being used and abused by others.

With over 35 Million individual pieces of data removed since 2010, DeleteMe is the category-defining market leader in the personal data removal space.

Industry: Software Development
Company Size: 51-200 employees

DeleteMe

**About DeleteMe:**

DeleteMe is the leader in proactive privacy protection. **We help Individuals, Families, Businesses and Security teams reduce their human attack surface ** by continuously monitoring and removing exposed personal data (PII) from the open web — the very data threat actors use to launch social engineering, phishing, Gen-AI deepfake, doxxing campaigns, physical threats, and identity fraud.

Operating as a fast-growing, global SaaS company, DeleteMe serves both consumers and enterprises. DeleteMe has completed over 100 million opt-out removals, helping customers reduce risks associated with identity theft, spam, doxxing, and other cybersecurity threats. We deliver detailed privacy reports, continuous monitoring, and expert support to ensure ongoing protection.

DeleteMe acts as a **scalable, managed defense layer ** for your most vulnerable attack vector: your people. That’s why **30% of the Fortune 100 **, top tech firms, major banks, federal agencies, and U.S. states rely on DeleteMe to protect their workforce.

DeleteMe is led by a passionate and experienced team and driven by a powerful mission to empower consumers with privacy.

**Job Summary:**

This position is a key partner across the organization, sitting within the Data Warehouse team to bridge the gap between raw data engineering and business strategy. The Data & Analytics Engineer is responsible for designing, building, and optimizing scalable data models in Snowflake using dbt, ensuring data integrity and high performance. This role balances technical warehouse architecture with the ability to translate complex business requirements into actionable data products.

**Job Responsibilities:**

- Data Modeling & Development: Architect and maintain robust, modular data models in Snowflake using dbt, following industry-standard modeling methodologies (e.g., Kimball)

- Warehouse Optimization: Write and tune advanced SQL to ensure optimal query performance, cost-efficiency, and resource management within the Snowflake environment

- Data Observability & Quality: Implement and manage automated testing, monitoring, and alerting frameworks to ensure data accuracy, freshness, and lineage

- Stakeholder Collaboration: Partner with business units to define KPIs, capture requirements, and translate business logic into technical data specifications

- End-to-End Delivery: Own the full data lifecycle from ingestion to production-grade data marts and strategic BI visualizations and dashboard building

- Engineering Excellence: Apply software engineering best practices to data development, including version control (Git), CI/CD, and detailed technical documentation

- Process Improvement: Continuous refactoring of legacy code and data structures to improve maintainability and scalability of the analytics stack

**Job Requirements:**

- Mastery of complex SQL, including window functions, CTEs, and performance tuning for large-scale datasets

- Proven experience building production-grade dbt projects, including macros, seeds, and testing suites.

- Strong understanding of Snowflake-specific features such as clustering, virtual warehouses, and zero-copy cloning.

- Deep knowledge of dimensional modeling, fact/dimension design, and data warehousing principles.

- Availability in US Eastern (EST) hours.

- Ability to understand organizational drivers and communicate technical details effectively to non-technical stakeholders.

- Strong problem-solving skills with the ability to identify root causes in data discrepancies or performance bottlenecks.

**Qualifications:**

- Bachelor’s degree in Computer Science, Data Science, Statistics, Business, or a related field.

- 3+ years of experience in Analytics Engineering, Data Engineering, or a highly technical BI role.

- Proficiency in Snowflake, dbt (with strong SQL), and data architecture.

- Proven track record of delivering end-to-end data solutions in a cloud warehouse environment.

- Strong data storytelling and presentation skills.

- Experience supporting various business functions like Finance, Operations, Sales, Marketing , preferably in SaaS.

**Nice to Have:**

- Experience with Python for data scripting or automation.

- Familiarity with data observability tools (e.g., Monte Carlo, Elementary).

- Experience in a high-growth startup environment.

- Cybersecurity experience

**What We Offer:**

- Comprehensive health benefits - Medical, Vision, Dental

- Flexible work schedule

- Generous 401k matching up to 6%

- 20 days paid time off

- 15 sick days

- 12 company-paid holidays

- Childcare expense reimbursement

- Fitness and cell phone reimbursement

- Birthday time off

- Competitive salary - We publish salary ranges to promote transparency and ensure fair compensation. Final offers are based on skills, experience, and internal equity.

- This role may require occasional domestic and international travel. All standard travel expenses will be covered in accordance with the company's travel reimbursement policy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This role offers a total salary of $100,000 USD.

Data & Analytics Engineer

Find Machine Learning Data Engineer jobs with Savvy's AI Recruiter. Browse thousands of opportunities from top companies including remote positions. Our AI-powered system matches you with roles that fit your skills and experience.