Afresh is the leading AI company in fresh food—partnering with grocers like Albertsons, Wakefern, Meijer, and Stater Bros to order billions of dollars of fresh food in over 12,000 grocery departments nationwide. Following record-breaking 70% growth in 2025, we’ve expanded our platform to cover all fresh departments, launched our full store suite, and debuted DC Fresh Buying. We’re on a mission to eliminate food waste and make fresh food accessible to all. In 2025 alone our software helped save 200M lbs of food waste. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines the future of fresh, there is no better time to join us. About the Role As a Senior Data Engineer, you’ll play a key role in scaling and improving how we integrate and process customer data. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable. You’ll also contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution. What You’ll Do Build tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data. Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use. Investigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs. Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features. Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations. Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need. Support team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback. What Makes You a Great Fit We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification. Salary Range in U.S.: $156,000 - $211,000 Salary Range in Canada (CAD): $137,000 - $185,000 About Afresh Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices. Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors. Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law. Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI .

Company Description DevIQ specializes in building modern cloud and data solutions – and we believe in the power of software and technology to improve lives. Join us to partner with passionate mid-market companies focused on reducing energy costs, curing disease, improving education, building smart cities, and more. From true innovation and synergetic cloud & technology partnerships to competitive full-time benefits and a strong team culture, DevIQ is a great place to work. At DevIQ, you’ll: Build your career with a supportive, inclusive team that appreciates people, creates value, embraces growth, and “owns the problem” as a team. Enjoy opportunities to learn, exposure to new industries, and building end-to-end solutions through meaningful work on active client projects. Work remotely and/or from our modern studio in downtown Denver. Bring your unique perspective and experience to multi-disciplinary teams. Collaborate on and contribute to transformative digital experiences that touch millions of lives, watching your work make an impact. Please note that you must be a U.S. citizen or eligible to work in the U.S. to be considered for this role, and third-party candidates will not be accepted. Job Description We are seeking a Data Engineer to join our growing team. In this role, you’ll build robust and scalable data pipelines that support high-quality analytics and machine learning solutions for our clients. You’ll play a critical role in designing workflows that ingest, transform, clean, normalize, and augment data from various sources. You should be comfortable working in cloud-based environments and have experience with structured and unstructured data. A strong command of SQL and Python is essential, along with practical experience using Pandas, Apache Spark, or similar data transformation frameworks. Key Responsibilities: Design and build reliable, scalable data pipelines for ingestion, transformation, normalization, and augmentation Work with structured, semi-structured, and unstructured data across diverse environments Develop approaches to source data from diverse platforms (flat files, databases, APIs, streams, etc.) Develop data transformation workflows using tools such as Pandas and Apache Spark Collaborate with cross-functional teams to gather data requirements and translate them into actionable data models Qualifications Required: 3+ years of hands-on experience with SQL and Python in data engineering or analytics roles Experience with data transformation tools/frameworks such as dbt, Pandas and Apache Spark Familiarity with cloud data platforms (e.g., Azure, AWS, Databricks) Solid understanding of ETL/ELT processes and pipeline orchestration Experience using version control systems like Git Strong communication and problem-solving skills Proactive in seeking opportunities to learn and grow skillset Preferred: Experience with Databricks, including use of Delta Lake, Spark notebooks, and Unity Catalog in production environments Experience with modern Data and ML workflow tools (e.g., Airflow, MLflow) Familiarity with data visualization libraries or tools (e.g., matplotlib, Power BI, Tableau) Understanding of best practices in data modeling, data quality, and pipeline monitoring Prior experience in a consulting or client-facing role Additional Information Est. Salary Range (Colorado Only): $120,000-$140,000* *Disclaimer: In accordance with Colorado’s Equal Pay for Equal Work Act, effective January 1, 2021, a good faith hourly or base salary range must be posted for all positions where the work may be performed in the state of Colorado. Therefore, this good faith salary range will only apply where this described position will be performed in the state, and should not be considered the compensation range in other locations or for other positions. DevIQ Benefits Include: Competitive financial compensation and utilization bonus plans Medical, Dental, Vision Insurance 401k, With 4% Matching Paid Time Off Health Savings Account (HSA)/Flexible Spending Account (FSA) Short-Term/Long-Term Disability Insurance Business funded Life Insurance Plan Dynamic yet relaxed work atmosphere Wide Variety of Growth Opportunities

Staff Backend Engineer - Analytics Location: United States (Remote) Department: Engineering Reports To: Manager, Data Engineering About Hatch Hatch is an AI-powered customer engagement platform transforming how home services businesses connect with their customers. As a Y Combinator (W19) company, we're building the future of customer communication through voice AI, intelligent messaging, and seamless CRM integrations. Our platform helps thousands of businesses deliver exceptional customer experiences at scale. Recently acquired by Yelp, Hatch operates as a startup within the Yelp family—maintaining our fast-moving, aggressive startup culture while leveraging the scale and resources of a public company. About the Role We're looking for a Staff Backend Engineer to join our Analytics team. You'll be a technical leader designing and building the data infrastructure that powers business insights for our customers. This role combines hands-on engineering with technical leadership—driving architecture decisions, mentoring engineers, and delivering systems that process billions of events. What You'll Do Design and build scalable data pipelines and analytics infrastructure Lead technical architecture decisions for the analytics platform Mentor and guide other engineers through code reviews and design discussions Build APIs and services that deliver real-time and historical analytics to customers Optimize query performance for large-scale data access patterns Partner with Product to translate business requirements into technical solutions Competitive salary Comprehensive health, dental, and vision insurance Flexible PTO policy Remote-first work environment Home office stipend Professional development budget Closing There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits. We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California). Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role. Recruiting and Applicant Privacy Notice

Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Our platform enhances trial efficiency and reduces the barriers to participation for healthcare providers. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster. Our team hails from a broad range of disciplines and is committed to the company’s mission to create equitable access to clinical trials for any patient, anywhere. Join us, and bring your expertise, passion, creativity, and drive as we work together to realize this mission. Paradigm’s Software Engineering team builds and maintains the foundational infrastructure that powers our clinical care data ecosystem. We ingest and integrate data from diverse sources—including Electronic Health Records, lab providers, and Health Information Exchanges—and transform it through enrichment and harmonization to support a wide range of internal consumers and product verticals. As Paradigm’s footprint across patient populations, research initiatives, and health systems expands, the team is focused on scaling our architecture to enable efficient, parallel data processing at scale. As part of the Data Core team, you’ll work with the engineering team and our commercial counterparts to ingest patient data into our system and build reusable platforms. You will partner closely with product, design, and other internal engineering teams to build resilient features, address bugs, and collaborate to plan upcoming work. What you'll do: Production readiness - handle a moderate size release, know what it means to monitor it and communicate it. Designs and implements solutions using best practices, drives architecture decisions for their team. Proactively consider cross team effects of their work, breaks down work and drives with the appropriate stakeholders. Proactively communicates updates on progress and blockers to ensure timelines can be met and adjusted accordingly. Effectively communicate within your team and other teams. Share and promote best practices to help your teammates grow. Understands the product area you are working with, and how it is used in context of the overall product. Works on epics on the scale of ~ 3 months Partner with our customer teams to develop engineering plans to implement our health system partners Build and support robust batch and streaming pipelines Build tools and processes to make data accessible across products and data consumers Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure Become a subject matter expert on our different datasets and tooling Who you are: The base compensation range is $150,000 - $165,000 USD per year. Actual salaries will vary based on candidates' qualifications, skills, and location. What You’ll Receive: Paradigm Health offers a comprehensive Total Rewards package to support your well-being and success, including: Competitive health, dental, and vision insurance Mental health support for you and your family through Spring Health Equity package Unlimited paid time off (PTO) 16 weeks of paid parental leave Flexible work options – remote and hybrid arrangements Company-paid life insurance Company-paid short-term and long-term disability coverage One Medical membership 401(k) plan with company match At Paradigm, we are committed to providing equal employment opportunities to all qualified individuals. We encourage and welcome candidates from all backgrounds and perspectives to apply for our open positions. We are interested in all qualified individuals and  ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.