Career Opportunity: Senior Software Engineer (Contract-to-Perm) with KPI Solutions in Cincinnati, OH

6-month contract to permanent | Hybrid / Position is based in Cincinnati, OH

Do you want to build software that controls real-world warehouse automation (WES/WCS)? Are you excited to own customer-facing features end-to-end—from requirements through production rollout? Do you want to modernize and scale a platform using Java, Spring-based microservices, and RESTful APIs? If so, then this role is for you!

KPI is seeking an experienced Senior Software Engineer to join our Software Group on a 6-month contract-to-hire basis. You’ll help design, develop, and evolve our Warehouse Execution and Control Systems (WES/WCS), software that serves as the central nervous system for advanced materials-handling environments.

This role is a great fit for a senior engineer who enjoys solving complex problems, collaborating with cross-functional teams, and working directly with customers on real-world automation solutions.

What You’ll Do

• Design, develop, and customize KPI’s Warehouse Execution and Control System (WES/WCS) for new and existing customers.
• Collaborate with internal teams on analysis, architecture, development, and testing of software solutions.
• Work directly with customers to gather requirements and implement tailored system customizations.
• Participate in the evolution of software architecture, tools, and frameworks working with technologies such as Java, Angular, Spring/Spring-based microservices, MS SQL Server, RESTful APIs, and JDBC/iBatis/Stored Procedures.
• Support system configuration, solution analysis, and occasional end-user training at client sites (approximately 25% travel).
• Communicate effectively across engineering, product, and stakeholder teams.
• Develop deep expertise in materials handling automation and warehouse technologies.

What We’re Looking For

• Bachelor’s degree in Computer Science or a related field (or equivalent experience).
• 5-7 years of professional software development experience.
• Strong experience with Java, Angular, and SQL (or similar tech stacks).
• Proven expertise writing and maintaining complex SQL queries.
• Experience developing resilient Springbased microservices.
• Solid understanding of API design for clientserver applications, including RESTful APIs.
• Proactive mindset around best practices, security, and modern development approaches.
• Strong communication and collaboration skills.

Why Join KPI Solutions?

• High ownership, high impact: you’ll set standards and build the platform other engineers ship on.
• Modernization work: containerization, automation, observability, and security improvements that matter in production.
• Cross-regional collaboration: partner closely with our EMEA DevOps teammate to build repeatable operations.
• Hybrid flexibility: onsite Mon-Wed, remote Thu-Fri.

Ready to Apply?

Apply if you’re excited to own automation, reliability, and secure delivery—and to turn POCs into production improvements.

KPI Solutions is an Equal Opportunity Employer (EEO/M/F/D/V).

No third‑party applications, please.

#ZR

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

The selected candidate must reside in the Cincinnati/Dayton area.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

Career Opportunity - Transportation: Roadway Staff Civil Engineer with The Kleingers Group in Cincinnati, OH

Are you motivated by owning study-phase and/or design-phase deliverables across civil, environmental, construction, and industrial projects with a strong Site Civil component? Do you thrive collaborating regularly with internal teams and clients to keep projects moving forward? Do you have intermediate proficiency in at least two engineering software applications and use them to deliver accurate work? If yes, then we want to speak with you!

Candidates must be authorized to work in the United States on a permanent basis. This position is not open to visa sponsorship.

The Transportation: Roadway Staff Civil Engineer provides technical leadership for civil engineering projects through planning, evaluation, design, and implementation that integrate roadway and Site Civil solutions. This role leads study and/or design phases for projects in the civil, environmental, construction, and industrial sectors with regular coordination on Site Civil elements.

The position collaborates regularly with internal teams and clients, with occasional interaction with public agencies. The Staff Civil Engineer manages assigned co‑ops and interns, represents the Company professionally, and demonstrates intermediate proficiency in at least two engineering software applications.

Other Responsibilities Include:

• Focus on roadway design projects that interface with Site Civil development.
• Provide engineering guidance to project stakeholders and management on design and construction requirements.
• Develop and communicate designs using engineering software and drafting tools, including site and detention design.
• Establish design criteria and specifications through engineering analysis (e.g., hydraulics, traffic demand, earthwork).
• Plan projects using drawings, surveys, maps, aerials, and geotechnical/topographical data.
• Prepare technical reports, including detention and engineering due diligence reports.
• Perform quantity takeoffs and cost estimates for materials, equipment, and labor.
• Coordinate with architects, contractors, engineers, and surveyors to ensure accurate layouts, grades, and project execution.
• Monitor project progress to ensure compliance with design standards and specifications.
• Share and teach company methodologies and best practices to team members.
• Demonstrate intermediate proficiency in civil engineering principles and design tools.
• Participate in professional meetings, associations, and networking activities.
• Perform other related duties as assigned.

Qualifications:

• Bachelor’s degree in Civil Engineering or a related field with experience in Site Civil Engineering, preferred.
• 3-5 years of transportation engineering experience preferred.
• PE licensure preferred but not required.
• Ability to complete basic design projects from start to finish as the primary designer on Site Civil or roadway projects.
• Working knowledge of state and local regulations, with ability to perform municipal plan reviews.
• Fundamental understanding of civil engineering principles, practices, and construction methods.
• Proficiency with CAD and related design, data, and analysis software.
• Strong problem-solving skills with an analytical and creative approach.
• Excellent verbal and written communication skills.
• Highly detail-oriented with a strong focus on accuracy.
• U.S. work authorization required. 

About The Kleingers Group

The Kleingers Group provides design solutions for a wide range of public, private, institutional, and corporate clients. We focus on providing Site Civil Engineering, athletic field design, Transportation Engineering, land surveying, 3D laser scanning, landscape architecture and community planning services. With offices located in Cincinnati, Columbus, Akron, Louisville, and Tampa, we are able provide our clients with the personal attention and service that has become our trademark.

 What We Offer:

• Medical, Dental, Vision, HSA, FSA
• Company-paid Life, Short-Term, and Long-Term Disability Insurance
• 401(k) plus matching up to 50%
• Hybrid work schedule options
• Employee Assistance Program
• Experience-based PTO, Unlimited Sick Time, Volunteer Hours
• Wellness Program
• Employee Referral Program
• Tuition Reimbursement, Paid Professional Memberships & Licensing Fees
• Kleingers Academy and Development Training

Apply online today!

The Kleingers Group does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

#HP

Job Opportunity: Supplier Quality Engineer (SQE) with Fameccanica in West Chester, OH

Are you driven to improve supplier performance and strengthen a global supply chain? We’re seeking a proactive Supplier Quality Engineer (SQE) to ensure our suppliers consistently deliver high‑quality materials and components. You’ll work closely with suppliers and internal teams to improve capability, resolve issues, and support operational excellence.

This role involves frequent travel (up to 2 weeks per month) to supplier sites and regular collaboration with cross‑functional teams to ensure quality excellence across the supply chain.

We are seeking a Supplier Quality Engineer (SQE) who is essential for ensuring the quality, reliability, and performance of materials and components throughout our operations. In this position, you will work collaboratively with both suppliers and internal teams to uphold high-quality standards, address problems, and promote ongoing improvements within the supply chain.

Key Responsibilities:

• Conduct supplier visits and perform quality and capacity audits using OEE, saturation, lead time (LT), and on‑time delivery (OTD).
• Support supplier qualification and assess technical capabilities and readiness.
• Manage non‑conformities and lead corrective and preventive action processes.
• Drive continuous improvement through RCA, 8D, 5 Why, Ishikawa, and other methodologies.
• Ensure compliance with APQP, FAI, CQC, and customer/regulatory requirements.
• Monitor supplier performance metrics and develop improvement plans.
• Conduct audits aligned with ISO 9001, IATF 16949, AS9100.
• Maintain accurate documentation and report performance updates.

What You Bring:

• 5+ years of supplier quality experience in manufacturing or industrial environments.
• Strong background in machining, metal fabrication, structural frames, and welding.
• Proficiency with PPAP, FMEA, SPC, PDCA, APQP/FAI/CQC.
• Experience with WCM, Lean Six Sigma, and capacity audits.
• Ability to lead audits independently and drive improvement initiatives.
• Strong communication and analytical skills.
• Bachelor’s degree in engineering, quality, or related field (or equivalent experience).
• Willingness to travel frequently domestically and internationally

About Us:
Fameccanica North America is a leader in industrial automation, dedicated to the design, development and manufacture of technologies, products, and services. Through our constant research and innovation activities, we aim at improving industrial processes and production for our customers. Talent applied to industrial innovation develops into care and attention: we find sustainable solutions for the benefit of our clients, consumers, and employees. Our idea of innovation starts from the present but looks to the future, in order to best meet tomorrow's challenges.

Apply online today!

#ZR

Senior Data Scientist Consultant, Managed Agent Platform (MAP) – Agent Platform Team P2392 

Summary 

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the MAP (Managed Agent Platform) squad and is focused on helping stand up a new, centralized platform that simplifies and accelerates the design, development, deployment, and monitoring of AI agents across the organization. 

The MAP is being built in response to growing demand for a flexible, no-code/low-code solution that enables both technical and non-technical users to build and deploy agents without deep engineering overhead. The platform is early-stage — the team is actively evaluating different platforms and tooling, defining workflows, and establishing standards. You will be joining at the ground floor and helping shape what this platform becomes. 

You will be the bridge between the engineers building/maintaining the MAP and the data scientists and agent builders who will use it. You are not building agents for end-clients. Instead, you ensure the platform works for the people on it — that capabilities are tested, documented, and adopted smoothly, and that practitioner needs make it back to the engineering team in a way that shapes the roadmap. 

You’ll bring hands-on familiarity with the open-source agent ecosystem — including frameworks like LangChain, LangGraph, Google ADK, and OpenAI Agents SDK — and apply that knowledge to evaluate platform capabilities, inform design decisions, and help practitioners understand what’s possible. As the platform matures, you’ll help onboard users, develop best practices, and drive adoption across the organization. 

This is a small, engineer-heavy squad that is standing something up from scratch. Everyone pitches in on a bit of everything. Priorities will shift frequently as the platform takes shape. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority. 

Responsibilities 

• Voice of the practitioner: Serve as the primary liaison between data scientists and agent builders and the MAP engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions, standards, and the roadmap. 

• Platform evaluation & definition: Help evaluate and select platform tooling and contribute to defining core platform capabilities — including agent building workflows, orchestration patterns, tool/API connectivity, observability and tracing, evaluation frameworks, and governance controls. Test and document findings, recommended use cases, limitations, and rollout considerations. 

• Onboarding & enablement: As the platform matures, write guides, maintain documentation, lead training sessions, and run office hours to help data scientists and agent builders adopt the MAP. Serve as a first line of support when teams hit roadblocks. 

• Adoption & communication: Evangelize the MAP to increase awareness and drive adoption across the organization. Produce clear communications and materials for both technical and non-technical audiences. 

• Cross-functional collaboration: Work closely with engineers, the solution architect, and product lead on the squad to ensure platform capabilities have well-defined use cases and that guidelines and best practices are established. Act as an agent-building ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices. 

• Governance & compliance support: Help validate that platform capabilities meet enterprise requirements around security, compliance, observability, scalability, and data governance. 

Qualifications & Experience 

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline. 

• 2–4 years of experience in data science, AI/ML development, or applied analytics. 

• 2–4 years of experience in tech consulting, retail analytics, or related professional services. 

• Hands-on experience with Python and SQL. 

• Hands-on experience with one or more agent frameworks (e.g., LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen) is required. 

• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams. 

• Experience partnering with software engineering and/or product management teams. 

• Familiarity with LLMs, prompt engineering, and agentic AI concepts. 

• Exposure to agent platforms is a strong plus. 

Skills 

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation. 

• Ability to influence across teams and seniority levels without direct authority. 

• Comfort operating in ambiguity — this platform is early-stage, and priorities will shift frequently as the team learns what works. 

• Strong project and time management skills; able to manage multiple priorities with minimal oversight. 

• Deep curiosity about the agentic AI ecosystem and a genuine desire to become a subject matter expert on agent orchestration, evaluation, observability, and deployment patterns. 

• Comfort working on a small, engineer-heavy team where you are often the only non-engineer voice in the room. 

#LI-SSS

Senior Data Scientist Consultant, SPI – Agent Platform Team

Summary

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the SPI (Science Platform Innovation) squad and is focused specifically on the Databricks environment and its evolving AI/ML capabilities.

You will be the bridge between the engineers building and maintaining our Databricks platform and the data scientists who use it every day. You are not building models for end-clients. Instead, you ensure the platform behaves as expected for the people on it—that new capabilities are tested, documented, and adopted smoothly, and that practitioner pain points make it back to the platform team in a way that shapes the roadmap.

You’ll build deep familiarity with Databricks’ infrastructure and AI powered capabilities —including Genie Code, Genie spaces, Agent Bricks, MLflow, and other features as they emerge—as well as the Unity Catalog governance layer that underpins them. You’ll test and evaluate new Databricks features and relevant third-party integrations from the perspective of an end-user, document your findings, and help the team decide what to adopt, how to roll it out, and what to skip.

This is a small, highly collaborative squad. Everyone pitches in on a bit of everything. Priorities shift frequently as the Databricks roadmap evolves. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority.

Responsibilities

• Voice of the practitioner: Serve as the primary liaison between data scientists using Databricks and the platform engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions and roadmaps.
• Technology evaluation: Lead the testing and evaluation of new Databricks capabilities (e.g., Mosaic AI features, Model Serving enhancements, Genie, new Unity Catalog functionality) and relevant third-party tools. Document findings, recommended use cases, limitations, and rollout considerations. Over time, this may evolve from hands-on beta testing toward designing and coordinating evaluation efforts across groups of practitioners.
• Onboarding & enablement: Write guides, maintain documentation, lead training sessions, and run office hours to help data scientists adopt new platform capabilities. Partner with Learning & Development where appropriate. Serve as a first line of support when teams hit roadblocks.
• Adoption & communication: Evangelize Databricks capabilities to increase awareness and drive adoption. Produce clear release notes, communications, and materials for both technical and non-technical audiences.
• Cross-functional collaboration: Work closely with the solution architect, cloud engineer, and product senior on the squad to ensure proposed technologies have well-defined use cases and that guidelines and best practices are established. Act as a data science ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices.
• Governance & compliance support: Help validate that new platform capabilities meet enterprise requirements around security, compliance, observability, and data governance (e.g., Unity Catalog lineage, Azure connectivity).

Qualifications & Experience

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline.
• 2–4 years of experience in data science, AI/ML development, or applied analytics.
• 2–4 years of experience in tech consulting, retail analytics, or related professional services.
• Hands-on experience with Python, SQL, PySpark and Databricks
• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams.
• Experience partnering with software engineering and/or product management teams.
• Familiarity with LLMs, prompt engineering, or agentic AI concepts is a strong plus.
• Experience with the Databricks ecosystem (Unity Catalog, MLflow) is a strong plus.
• Exposure to agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) is a plus.

Skills

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation.
• Ability to influence across teams and seniority levels without direct authority.
• Comfort operating in ambiguity—priorities shift frequently, and you need good instincts about where to focus.
• Strong project and time management skills; able to manage multiple priorities with minimal oversight.
• Curiosity and enthusiasm for emerging AI technologies and a genuine desire to become a subject matter expert on the Databricks platform and its AI capabilities.

#LI-SSS

Lead API Platform Engineer (Cincinnati / Chicago) P181

About 84.51°

84.51° is a data science and technology company (owned by Kroger) that turns customer data into decisions that improve how people shop. Engineers here work with modern cloud and data tech at meaningful scale, alongside product, data science, and business teams.

The role

We’re hiring a Lead API Platform Engineer to join our Application Delivery team within Platform Engineering. This is an individual contributor (IC) technical lead role, owning the API gateway experience end-to-end — from pre-production through production. You’ll help shape technical direction, mentor engineers, and continuously improve our on-call/escalation rotation — participating and fielding gateway-related production issues when on rotation.

If you meet most—but not all—requirements, we still encourage you to apply.

What you’ll do

• Own our gateway platforms: Maintain and evolve our Kong Enterprise API Gateway and Azure Application Gateway configurations, standards, and best practices—and help design what’s next.
• Strengthen API security: Implement and promote API security standards, including OAuth2, JWT, and SAML, along with access controls and encryption.
• Improve reliability and performance: Monitor, troubleshoot, and optimize using Datadog. Tune latency, caching behavior, and rate limiting to support high-performing APIs.
• Automate delivery: Build and maintain automation and CI/CD workflows (using GitHub Actions) for gateway deployments and policy/configuration updates.
• Enable great developer experience: Improve how teams build and test APIs by standardizing gateway onboarding, providing self-service patterns, and supporting reliable local development workflows (e.g., local gateway tooling, mock/test routes, and clear “run it locally” docs).
• Shape work for success: define and decompose scope into ready-to-build requirements (clear user stories and acceptance criteria), aligning on delivery standards, and proactively removing blockers to keep execution on track.
• Support production operations: Provide L2/L3 support, participate in an on-call rotation, lead root-cause analysis, and drive permanent fixes.
• Collaborate and document: Partner with development, QA, security, and architecture teams. Create clear documentation, SOPs, and onboarding materials to help teams ship confidently.

What we’re looking for

• Bachelor’s degree (Master’s degree desired) typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
• 5+ years of hands-on experience operating API gateways in production environments (especially Kong)
• Strong API fundamentals (REST, JSON) and security best practices
• Experience working in a public cloud environment, plus solid networking knowledge (DNS, firewalls, load balancers) – Azure preferred but not required
• Comfort scripting and/or coding in one or more languages (e.g., Python, Shell, Java, Node.js)
• Familiarity with DevOps/Agile practices, Docker/Kubernetes/Helm, and Terraform (or other IaC tools)
• Clear communication skills and a collaborative mindset in a fast-moving environment

#LI-SSS

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Define project requirements by identifying project milestones, phases, and deliverables
• Execute project plan, report progress, identify and resolve problems, and recommend further actions
• Delegate tasks to appropriate resources as project requirements dictate
• Design, develop, and deliver audience training and adoption methods and materials

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Databricks and DBT experience is a plus
• Experience building and optimizing data pipelines, architectures, and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with structured and unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets
• Ability to interface with multiple other business functions (internally and externally)
• Desire to build analytical competencies in others within the business
• Curiosity to ask questions and challenge the status quo
• Creativity to devise out-of-the-box solutions
• Ability to travel as needed to meet client requirements

• Competitive pay and bonus
• Travel incentive bonus structure
• Flexible time off
• Investment in your growth and development
• Full health, vision, dental and life benefits
• Paid parental leave
• 3:1 charity match

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Define project requirements by identifying project milestones, phases, and deliverables
• Execute project plan, report progress, identify and resolve problems, and recommend further actions
• Delegate tasks to appropriate resources as project requirements dictate
• Design, develop, and deliver audience training and adoption methods and materials

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Databricks and DBT experience is a plus
• Experience building and optimizing data pipelines, architectures, and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with structured and unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets
• Ability to interface with multiple other business functions (internally and externally)
• Desire to build analytical competencies in others within the business
• Curiosity to ask questions and challenge the status quo
• Creativity to devise out-of-the-box solutions
• Ability to travel as needed to meet client requirements

• Competitive pay and bonus
• Travel incentive bonus structure
• Flexible time off
• Investment in your growth and development
• Full health, vision, dental, and life benefits 
• Paid parental leave
• 3:1 charity match