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data engineer

Moser Consulting

<div>
 
 Description
 
 
 
 The Moser Intern Program is designed to provide the future leaders of technology with hands-on experience to the tools and technologies that are useful in the IT industry. From database management through application development to managed services; the Moser Intern Program gives talented students the opportunity to connect with high quality IT professionals, produce innovative solutions to our clients&rsquo; problems, and make meaningful contributions to the continued success of the company.
 
 
 This is a full-time summer internship with Moser Consulting, lasting approximately 8-12 weeks during the summer. The Data &amp; Analytics Intern will be exposed to many new technologies and have the opportunity to be part of different ongoing projects within the Moser organization.
 
 
 <ul>
 <li>
 Ability to participate in team stand-up and sprint meetings.
 </li>
 <li>
 Completion of online trainings and completion of daily assigned tasks.
 </li>
 <li>
 Participate in requirement gathering meetings.
 </li>
 <li>
 Engage in challenging projects to achieve a greater understand of Data &amp; Analytics, ranging from Data Engineering tasks to Visualization Engineering and Insights deliverables.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 A college Junior or Senior standing, working towards a bachelor&rsquo;s undergraduate degree in Computer Science, Computer Information Technology or a related IT field; or a recent graduate.
 </li>
 <li>
 Candidate should have working knowledge of data development, coding in SQL and/or data platforms.
 </li>
 <li>
 Should have experience with at least one programming language.
 </li>
 <li>
 Knowledge of software development life cycle is a plus.
 </li>
 <li>
 Candidate should have inherent curiosity, can&rsquo;t help but ask &ldquo;why?&rdquo;, and love using data &amp; logic to explore potential solutions. Excited by new technologies and building new things.
 </li>
 <li>
 Must possess and be able to demonstrate effectiveness with each of the following Key Attributes:
 </li>
 <ul>
 <li>
 Excellent oral and written communication skills
 </li>
 <li>
 High degree of accuracy and attention to detail
 </li>
 <li>
 Ability to function well in a team environment
 </li>
 <li>
 Strong interpersonal and communication skills
 </li>
 <li>
 Ability to effectively administer sensitive and confidential information
 </li>
 <li>
 Ability to interact with Management and employees at all levels
 </li>
 <li>
 Professionalism/Ethics (Trust, Attitude, Commitment, Honesty, Collaboration, &amp; Approachability)
 
 </li>
 </ul>
 </ul>
 Where You'll Work
 
 
 You will be able to work a hybrid/onsite work schedule out Moser's Castleton office.
 
 
 Salary
 
 
 At Moser Consulting, we believe in pay transparency and fairness. This will be a paid internship, The salary will vary depending on experience. We are committed to offering a competitive salary that aligns with the industry standards and the unique competencies you bring to our community.
 
 
 
 Benefits
 
 
 
 For 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&rsquo;t just hire the best&mdash;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&rsquo;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&rsquo;s not all.
 
 
 We also offer a suite of benefits designed to support and enrich our employees&rsquo; lives. These include:
 
 
 <ul>
 <li>
 Training Opportunities: We believe in lifelong learning and provide numerous avenues for skill enhancement.
 </li>
 <li>
 Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.
 </li>
 <li>
 PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.
 </li>
 <li>
 Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.
 </li>
 <li>
 Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.
 </li>
 <li>
 Wellness Program: We promote a healthy lifestyle with our wellness program.
 </li>
 <li>
 Catered Lunches: Enjoy delicious catered lunches regularly.
 
 
 </li>
 </ul>
 At Moser Consulting, we don&rsquo;t just offer jobs&mdash;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.
</div>

Data Engineer Internship

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce&rsquo;s Employee Success (ES) Product Management team is advancing AI-driven data initiatives to expand our data capabilities across all ES functions. A key priority is developing a robust data and AI foundation to support innovation, automation, and data-driven decision-making.
We are seeking a highly skilled Lead Data Engineer with expertise in data engineering, AI, and machine learning, along with experience in API development. Familiarity with Salesforce Data360 and Agentforce is a plus.
In this role, you will build data pipelines, metrics, analytics solutions, and Agentic AI solutions used by employees globally. You will partner with business teams to translate requirements into technical solutions, integrate data from multiple sources, and develop automated pipelines that generate actionable insights.
Responsibilities
<ul><li>Lead design, development, and optimization of data pipelines to support analytics, AI models, generative AI applications, and business intelligence.
</li><li>Architect and maintain APIs for seamless data exchange between systems, including Salesforce Data360 and Agentforce, enabling AI-powered workflows.
</li><li>Leverage AI and machine learning to enhance data processing, predictive analytics, and automation.
</li><li>Implement and integrate large language models (LLMs) and generative AI solutions to improve data insights, automated decision-making, and user experiences.
</li><li>Provide technical leadership in Salesforce technologies, including APEX code development, Salesforce Flow, and integrations with external data sources and AI services.
</li><li>Collaborate cross-functionally to implement data governance, security, and compliance best practices.
</li><li>Optimize data storage, processing, and retrieval in cloud environments, ensuring performance and scalability.
</li><li>Provide guidance on Salesforce Data360 integration and utilization.
</li><li>Partner with ES teams to define metrics, build proof-of-concepts, and document functional and technical requirements.
</li><li>Design and develop repeatable automation frameworks supporting AI model training and inference.
</li><li>Lead review and validation of logical and physical design to align with solution architecture.
</li><li>Collaborate with data scientists to support data needs and deploy scalable models.
</li><li>Lead and collaborate with global teams across North America, EMEA, and APAC.
</li></ul>Required Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science or relevant work experience; 10+ years in data engineering, data modeling, machine learning, automation, and analytics. People Analytics experience is a plus.
</li><li>Proficiency with SQL, Python, Informatica IICS, and dbt.
</li><li>Strong expertise in AI/ML, including generative AI, LLMs, NLP, and AI model deployment.
</li><li>Experience designing AI-driven solutions, including RAG, vector databases, and embedding models.
</li><li>Proficiency in SQL, Bash, and Python scripting.
</li><li>Experience with orchestration tools (e.g., Apache Airflow) and version control (GIT).
</li><li>Solid understanding of data warehousing and data modeling concepts.
</li><li>Experience integrating systems through APIs.
</li><li>Experience with AWS technologies (EC2, Aurora, Lambda, S3) preferred.
</li><li>Experience with Salesforce Data360 and Snowflake or similar platforms preferred.
</li><li>Deep understanding of data engineering concepts, database design, tools, and architecture.
</li><li>Experience collaborating with Analytics/Data Science teams.
</li><li>Excellent interpersonal skills; team-first mentality.
</li><li>Self-starter, highly motivated, able to adapt quickly to shifting priorities and solve complex problems.
</li><li>Results-oriented, able to work with minimal supervision.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.</div>

Employee Success Lead Data Engineer

Bluelight Consulting

<div><div><div>Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.</div><div></div><div> 
We are looking for a skilled individual to join our rapidly growing team at Bluelight Consulting. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.</div></div>
<div><div><h3 class="jobSectionHeader">What we are looking for</h3><ul><li><ul><li>
Experience with AWS services including but not limited to S3, Athena, EC2, EMR, and Glue.</li><li>
Ability to solve any ongoing issues with operating the cluster.</li><li>
Experience with the integration of data from multiple data sources.</li><li>
Experience with various database technologies such as SQLServer, Redshift, Postgres, and RDS.</li><li>
Experience with one or more of the following data integration platforms: Pentaho Kettle, SnapLogic, Talend OpenStudio, Jitterbit, Informatica PowerCenter, or similar.</li><li>
Knowledge of best practices and IT operations in an always-up, always-available service.</li><li>
Experience with or knowledge of Agile Software Development methodologies.</li><li>
Excellent problem-solving and troubleshooting skills.</li><li>
Excellent oral and written communication skills with a keen sense of customer service.</li><li>
Experience with collecting/managing/reporting on large data stores.</li><li>
Awareness of Data governance and data quality principles.</li><li>
Well versed in Business Analytics including basic metric building and troubleshooting.</li><li>
Understand Integration architecture: application integration and data flow diagrams, source-to-target mappings, data dictionary reports.</li><li>
Familiar with Web Services: XML, REST, SOAP.</li><li>
Experience with Git or similar version control software.</li><li>
Experience with integrations with and/or use of BI tools such as GoodData (Prefered), Tableau, PowerBI, or similar.</li><li>
Broad experience with multiple RDBMS: MS SQLServer, Oracle, MySQL, PostgreSQL, Redshift.</li><li>
Familiarity with SaaS/cloud data systems (e.g. Salesforce).</li><li>
Data warehouse design: star-schemas, change data capture, denormalization.</li><li>
SQL/DDL queries/Tuning techniques such as indexing, sorting, and distribution.</li><li>
BS or MS degree in Computer Science or a related technical field.</li><li>
3+ years of Data Pipeline development such as SnapLogic or Datastage, Informatica, or related experience.</li><li>
3+ years of SQL experience (No-SQL experience is a plus).</li><li>
Experience designing, building, and maintaining data pipelines.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader">Company Benefits</h3><ul><li><ul><li>
Competitive salary and bonuses, including performance-based salary increases.</li><li>
Generous paid-time-off policy</li><li>
Technology / Office stipend</li><li>
Health Coverage</li><li>
Flexible working hours</li><li>
Work remotely</li><li>
Continuing education, training, conferences</li><li>
Company-sponsored coursework, exams, and certifications</li></ul></li></ul></div></div>
<div><div>Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.</div><div>
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You&rsquo;ll collaborate with modern technologies and work alongside some of the best professionals in the industry!</div><div>
If you&rsquo;re eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote</div></div></div>

Data Engineer - Remote, USA

<div>
 About Moser
 
 For 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.
 
 Description
 
 We 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:
 
 
 
 <ul>
 <li>
 Design, implement and deploy production-grade machine learning models and systems using modern MLOps practices. Deliverables will span from classical ML to Gen AI.
 </li>
 <li>
 Prepare datasets, feature pipelines, evaluation scaffolding, experiment tracking, and model packaging.
 </li>
 <li>
 Implement model inference services, deployment workflows, and monitoring mechanisms.
 </li>
 <li>
 Projects may range from data ingestion and transformation to model serving and application integration.
 </li>
 <li>
 Responsibilities will include debugging, performance tuning, and failure analysis across data and model layers.
 </li>
 <li>
 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.
 </li>
 </ul>
 
 
 
 Data Engineering:
 
 
 
 <ul>
 <li>
 Build ingestion, transformation, and storage pipelines for analytical and ML workflows.
 </li>
 <li>
 Ensure data quality and integrity by implementing data validation and cleansing processes.
 </li>
 <li>
 Tasks may involve evaluating tradeoffs among tools, architectures, and modeling approaches.
 </li>
 <li>
 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.
 </li>
 </ul>
 
 
 
 Software Engineering:
 
 
 
 <ul>
 <li>
 Write modular, testable, and maintainable codebases that follow idiomatic patterns.
 </li>
 <li>
 Build APIs, services, and components that integrate models into applications.
 </li>
 <li>
 Use containers, CI/CD (defining, maintaining), and automated testing to ensure reliability.
 </li>
 <li>
 Documentation will include diagrams, reasoning, assumptions, and operational instructions.
 </li>
 </ul>
 
 
 
 Collaboration &amp; Communication:
 
 
 
 <ul>
 <li>
 Work closely w/ a technical lead or senior consultant to align execution with architectural direction and best practices.
 </li>
 <li>
 Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Proven ability to foster a collaborative and positive team environment, contributing to team success.
 </li>
 <li>
 Proven ability to explain complex concepts to non-technical collaborators.
 </li>
 <li>
 Proven ability to break down requirements into clear actionable steps.
 </li>
 <li>
 Ability to work with clients to ensure smooth and successful implementation, delivery and deployment of AI/ML and other relevant data solutions.
 </li>
 <li>
 Communication and collaboration: Excellent verbal and written communication skills.
 </li>
 </ul>
 Requirements
 <ul>
 <li>
 Communication and collaboration: Excellent verbal and written communication skills.
 </li>
 <li>
 A solid understanding of statistical analysis, data modeling and data visualization techniques.
 </li>
 <li>
 Excellent time management and organizational skills.
 </li>
 <li>
 Advanced proficiency in SQL; expertise in performance tuning and optimization of SQL queries required.
 </li>
 <li>
 Strong understanding of ETL/ELT fundamentals and orchestration tools.
 </li>
 <li>
 Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
 </li>
 <li>
 Proficiency in Python and SQL with strong grounding in data structures and software fundamentals.
 </li>
 <li>
 Strong understanding of software engineering practices including version control, testing, module design, and code clarity.
 </li>
 <li>
 Expertise in ML, MLOps, and applied AI in production environments.
 </li>
 <li>
 Location: Indianapolis, IN. United States required.
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Bachelor's, Master's, or Ph.D. degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Minimum 3 - 5 years of experience working with Machine Learning models.
 </li>
 <li>
 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).
 </li>
 <li>
 Demonstrated ability to adapt quickly to new technology stacks and client-specific coding standards.
 </li>
 <li>
 Working knowledge of ML frameworks and libraries, such as: PyTorch, TensorFlow, and scikit-learn.
 </li>
 <li>
 Analytical mindset: Strong problem-solving skills, with the ability to analyze complex data and derive actionable insights.
 </li>
 <li>
 History of designing idempotent data workflows that can gracefully handle failures and restarts without data duplication or corruption.
 </li>
 <li>
 Proven expertise in at least one major cloud platform (AWS, Azure, Snowflake or GCP) utilizing services for compute, data warehousing.
 </li>
 <li>
 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.
 </li>
 <li>
 Relevant Certifications are beneficial.
 </li>
 </ul>
 Where You'll Work
 
 You 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.
 
 Salary
 
 At Moser Consulting, we believe in pay transparency and fairness. The $120k-$155k salary range for this role is not just a number&mdash;it&rsquo;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.
 
 Benefits
 
 For 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&rsquo;t just hire the best&mdash;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&rsquo;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&rsquo;s not all.
 
 
 We also offer a suite of benefits designed to support and enrich our employees&rsquo; lives. These include:
 
 <ul>
 <li>
 Training Opportunities: We believe in lifelong learning and provide numerous avenues for skill enhancement.
 </li>
 </ul>
 <ul>
 <li>
 Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.
 </li>
 </ul>
 <ul>
 <li>
 PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.
 </li>
 </ul>
 <ul>
 <li>
 Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.
 </li>
 </ul>
 <ul>
 <li>
 Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.
 </li>
 </ul>
 <ul>
 <li>
 Wellness Program: We promote a healthy lifestyle with our wellness program.
 </li>
 </ul>
 <ul>
 <li>
 Catered Lunches: Enjoy delicious catered lunches regularly.
 </li>
 </ul>
 
 At Moser Consulting, we don&rsquo;t just offer jobs&mdash;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.
 
</div>

Machine Learning (ML) / Data Engineer

<div>Position Description:

The Sr Data Architect expands upon the responsibilities of Data Architect and takes a more holistic view of the system. The Sr Data Architect is a resource for the architecture, DevOps and engineering teams and provides technical guidance, direction, education, and mentorship. 


Duties &amp; Responsibilities:
<ul>
<li>Demonstrated leadership and mentorship across engineering teams and participates in advancing the skills of the overall team in data analytics, data structure, data security, data governance, and business intelligence.</li>
<li>Established process improvements, tooling, and/or introduced libraries that significantly improved the developer experience in terms of maintainability, quality, scalability, or security.</li>
<li>Consistently produces high quality, maintainable, low defect, well designed, and testable code.</li>
<li>Write and maintain scripts written in Python for data engineering and machine learning pipelines.</li>
<li>Modification of database objects using SQL (stored procedures, views, tables etc.)</li>
<li>Regularly collaborates with other engineers, architects, and DevOps during design and implementation. Also works closely with Product Management and other areas of the business to ensure market needs are met.</li>
<li>Led the technical design and implementation of either a new feature, or a significant refactor of an existing feature set and participates in the discovery track to understand, define, and document the requirements so that it can be executed upon by the development team(s). Including adhering to defined security standards in both functional and non-functional duties of job.</li>
<li>Produces technical documentation that captures and communicates implementation details using:
<ul><li>Flowcharts</li>
<li>Sequence Diagrams</li>
<li>Activity/Dataflow Diagrams</li>
<li>Block Diagrams</li>
<li>State Machine Diagrams</li>
<li>Entity Relationship Diagrams</li>
</ul></li><li>Participates in and provides meaningful feedback in code reviews as it relates to data structure, governance, query optimization, usage, and reporting.</li>
<li>Keeps abreast of technology trends and regularly hosts and/or facilitates technology discussions/lunch and learns or other educational efforts with the broader team.</li>
<li>Recognized by peers as a data expert and leader within the organization.</li>
<li>Work with cloud storage and warehousing tools such as Snowflake.</li>
<li>Maintain and deploy Lambda services in AWS.</li>
<li>Work with reporting software such as Metabase.</li>
<li>Deep understanding of data infrastructure and data architecture with demonstrated ability to conceptualize and implement data solutions from code through infrastructure leveraging best practices and automation that satisfies business needs for reporting and decision making.</li>
<li>Demonstrated understanding of resource cost, planning and optimization when architecting data solutions in the cloud.</li>
<li>Other duties as assigned.</li></ul> 


Education &amp; Experience:
<ul>
<li>Bachelor's or Master's degree in computer science or related required.</li>
<li>15+ years of experience in computer science or related field required.</li>
<li>5+ years of experience with SQL and unstructured databases.</li>
<li>Relational Database design, and architectural patterns for distributed data stores.</li>
</ul><ul><li>10+ years of experience in the architecture, implementation, and support of complex enterprise cloud applications</li>
</ul><ul><li>3+ years of experience with Python and Snowflake or other similar data warehouse tools and services. Also proficiency with libraries such as TensorFlow or PyTorch.</li>
<li>Cloud Native Applications &ndash; Azure/AWS Certification(s).</li>
<li>Automation &ndash; Test (Unit, End to End, Integration), Build, Deployment, Configuration.</li>
<li>Experience with reporting and data models.</li>
<li>Data Structures, Query Optimization, Design Patterns &ndash; Star Schema, Data Vault, etc.</li>
<li>Ability to capture and communicate complex design in simple terms.</li>
<li>Infrastructure as Code using ARM/Terraform/CloudFormation or equivalent.</li>
</ul><div>
Ren is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.</div></div>

Senior Data Architect

Envita Solutions

<div>Envita Solutions, formerly known as Heritage Interactive Services, is a leading total waste management partner. The company is dedicated to fostering a healthier planet by transforming complex waste challenges into sustainable solutions. Headquartered in Indianapolis, Indiana, Envita Solutions operates in the U.S., Mexico, and Canada, has over 300 employees, and a network of over 3,000 supplier partners. A division of The Heritage Group, Envita Solutions is part of a portfolio of more than 30 companies specializing in heavy construction and materials, environmental services, and specialty chemicals. With unique access to research and development and a leading hard tech corporate venture capital portfolio, Envita Solutions is at the forefront of waste and climate challenge innovation.
At Envita, our guiding principles are the foundation of our company. Our vision is to foster a healthier planet by transforming complex waste challenges into sustainable solutions. We exist to protect human health and the environment and build a safer, more sustainable world. We believe in creating enduring value, building long-term relationships and mutual trust, betting on our people, keeping our eyes open for opportunity, tackling the big problems, and doing the right thing-always. 
Envita Solutions is seeking a Senior AI/ML Engineer (Data Science &amp; Automation) to lead the design, development, and deployment of scalable AI/ML and automation solutions that enhance sustainability, efficiency, and decision intelligence. This role blends deep technical expertise with leadership, mentorship, and a strong focus on production impact. You'll play a key role in shaping Envita's AI strategy and data architecture. 
 
Essential Functions<ul><li>
Design and implement scalable data pipelines and ML architectures for production environments.</li><li>
Develop and deploy machine learning and generative AI models that drive measurable operational improvements.</li><li>
Build workflow automation solutions (APIs, UiPath, Power Automate) that improve efficiency and accuracy.</li><li>
Integrate models into cloud-based production systems (Azure ML, Databricks, AWS SageMaker, or GCP Vertex AI).</li><li>
Apply modern ML techniques, including NLP, deep learning, and predictive analytics.</li><li>
Partner with business and technical leaders to identify and prioritize high-value AI/ML opportunities.</li><li>
Define standards for data architecture, ML operations (MLOps), and model governance.</li><li>
Champion best practices for responsible and ethical AI in sustainability-focused operations.</li><li>
Mentor and coach junior data scientists and engineers, promoting excellence and innovation.</li></ul><ul><li>
Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company&rsquo;s core values, competencies, and skills.</li></ul> 
Education Qualifications<ul><li>
Required Bachelor's Degree in Computer Science, Data Science, AI/ML, or related field (Master&rsquo;s/PhD preferred).
</li></ul> 
Experience Qualifications<ul><li>
7+ years of experience in data science, AI/ML engineering, or applied machine learning
</li><li>Proven success developing and maintaining production ML models with measurable impact
</li><li>Hands-on expertise in deep learning, NLP, generative AI, and/or computer vision.
</li><li>Strong experience with cloud platforms (Azure, AWS, or GCP) and pipeline orchestration (Databricks, Airflow, or similar).
</li><li>Prior exposure to sustainability, logistics, or enterprise operations is a plus.
</li></ul> 
Skills and Abilities<ul><li>
Expert in Python and leading ML frameworks (scikit-learn, TensorFlow, PyTorch).
</li><li>Deep understanding of ML principles: supervised/unsupervised learning, deep and reinforcement learning, model evaluation.
</li><li>Familiar with workflow automation tools (UiPath, Power Automate, APIs).
</li><li>Strong communicator and mentor with the ability to translate complex ideas into actionable insights.
</li><li>Builds scalable, production-ready ML systems and fosters collaboration across teams.
</li>Operates effectively as both a builder and coach, driving continuous improvement. 
<li>
</li></ul> 
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 protected veteran.
#EnvitaSolutions</div>

Senior AI/ML Engineer (Data Science & Automation)

Turner Construction Company

<div>Leads, directs and coordinates the work of subcontractors and/or Turner trade labor with regard to the Mechanical and Electrical systems included in the project. Responsible for ensuring safety, schedule delivery, quality of work performed and adherence to budget of the project. The Superintendent Mechanical-Electrical has supervisory responsibility for Assistant Superintendents, Field Engineers, Interns and trade labor in his/her area of responsibility.
Reports to: Project Superintendent, Project Manager or MEP Manager
Essential Duties &amp; Responsibilities*:

Specifically relating to the mechanical and/or electrical systems (e.g. HVAC, Plumbing, Electrical, Low Voltage, Fire Sprinkler):
<ul>
<li>Managing and making decisions related to the performance of work related to scheduling, delivery, logistics, quality control and trade employee staffing levels.</li>
<li>Managint work among assigned trades to promote a coordinated project operation. Resolving local area problems regarding procedures, precedence, design clarifications, adequate labor and equipment, schedule and all other appropriate matters.</li>
<li>Managing the overall site safety program as required and ensuring subcontractor compliance with Turner standards and all applicable safety codes and regulations.</li>
<li>Supervising and developing Assistant Superintendents, Field Engineers and/or interns, as assigned, including providing input on or completing performance appraisals.</li>
<li>Ensure strict adherence to ethics and compliance requirements at all times.</li>
<li>Creating schedules and determining sequencing of work. Developing and implementing recovery strategies to maintain project schedule and budget.</li>
<li>Communicating with owners and architects/engineers in connection with field issues. Investigating and resolving such issues.</li>
<li>Managing the billing process as it relates to work in place and overseeing the monthly estimate of work completed, payrolls, material invoices and subcontractor payment applications.</li>
<li>Managing the work to ensure that it is installed in compliance with and conforms to the approved contract documents.</li>
<li>Working with the Engineer on the coordination effort for all mechanical and electrical systems, equipment and piping layouts for all trades on a master coordination set of drawings and 3D model securing the approval of the architects and engineers.</li>
<li>Leading project inspections, startup, commissioning, turnover and training process, and punchlist required for acceptance and handover of all the systems.</li>
<li>Coordinating, directing, and monitoring the activities of subcontractors and suppliers, to insure conformance with plans, specifications, local and national codes.</li>
<li>Reviewing project changes in conjunction with the Project Engineer.</li>
<li>Keeping detailed daily records of MEPS trade contractors' work progress.</li>
<li>Participating in preconstruction efforts (e.g. constructability, logistics).</li></ul> 


Qualifications: Bachelor's degree or at least four years of formal engineering or architectural experience and a minimum of six years of mechanical/electrical/plumbing construction experience required, or an equivalent combination of education, training and/or experience. Knowledge of building construction, means and methods, scheduling and cost control procedures, general contract, general conditions, subcontract documents, drawings and specifications. Specific knowledge of Mechanical and Electrical Systems. Thorough knowledge of building information modeling and its use in coordination of the Mechanical and Electrical systems and other project systems. Proven written and verbal communication abilities; proficiency with computer applications, including Microsoft Office suite. Ability to read, understand and interpret contract documents, drawings, specifications, scopes of work and project schedule. Demonstrated leadership and interpersonal skills.
Physical Demands: Performance of the required duties will require physical ability to climb permanent and temporary stairs, passenger use of construction personnel hoists, ability to climb ladders and negotiate work areas under construction. Specific vision abilities required by this job include close vision, peripheral vision, depth perception, and the ability to adjust focus. Performing this job requires useof hands to finger, handle, or feel objects, tools or controls, sit, talk and hear, stand, climb, balance, stoop, kneel, crouch, or crawl. Employee must occasionally lift and/or move up to 75 pounds.
Work Environment: While performing the duties of this job, the employee regularly works on-site at the construction work site where the employee is exposed to moving mechanical parts; high precarious places; fumes or airborne particles; outside weather conditions and risk of electrical shock. The noise in these work environments is usually moderate to very loud. *May perform other duties as assigned. 
#LI-SO1

Turner is an Equal Opportunity Employer - race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other characteristics protected by applicable law.</div>

Electrical Superintendent - Indianapolis

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