Company Description Catasys is making a positive impact on people’s lives every day. We use predictive analytics to identify health plan members with unaddressed behavioral health conditions that worsen chronic disease, then engage, support and guide these members to better health with a personalized, human-centered approach.  This has led us to where we are today: growing fast and saving lives as we do. To support our explosive growth, we’re looking for compassionate, hard-working people-lovers to join our team. If innovating in the field of patient care is something you’re passionate about, we encourage you to join our mission to improve the health and save the lives of as many people as possible. Impact lives in so many ways You'll be an integral part in supporting people coping with their unique life challenges. Every member of the Catasys team contributes to accomplishing our goals and upholding our people-centric values. The new face of mental health Our model is research-based, and we are invested in staying on the leading edge of treatment. You'll help us break down barriers and stigmas associated with mental health. Career options Our ongoing strong growth and evolution, we are looking for people who want to do their best at work.   Join our team and take your career to the next level with Catasys. We are committed to promoting from within. Excellent compensation Job Description In this key role, you will be a data architect defining and growing the data infrastructur e and data supported by applications used by Catasys colleagues who work daily to improve and save the lives of those suffering from the medical consequences of untreated behavioral health conditions. You will work in a highly autonomous and low supervision environment with a geographically distributed team creating and delivering successful applications from whiteboard to market scale. You will live in a highly collaborative, delivery-focused team environment and will be equally at home designing an MDM strategy, troubleshooting DB performance, building out a data strategy or helping a developer implement a new document collection. You will display the ability to be a critical thinker and tackle problems by first evaluating the problem and then thinking of several potential solutions.  You will be responsible for all phases of new data solution implementation displaying the ability to lead in the delivery of the solutions. To you, balancing security and accessibility, system design and architecture, reliability engineering and fault diagnosis are not esoteric terms, but rather fuel for the obsession that drives your daily war against mediocrity. Basically, your qualification for this job is proven experience operating in a high performing and fault intolerant environment. Your objective is to anticipate the needs of the organization and work to ensure that the data architecture provides value for the entire organization Qualifications Bachelor's degree in Computer Science or "STEM" majors (science, technology, engineering, or math) 5 or more years of data architecture experience Excellent communication both written and verbal Experience with relational and No SQL data structures Experience with Data Lakes and technologies Experience in deploying a Master Data Management (MDM) solution Familiar with Python scripting language Experience with data warehouse implementations Data visualization experience Additional Information All your information will be kept confidential according to EEO guidelines.

About The Role This role is remote eligible* As a Staff Data Engineer at The RealReal you'll lead automation, personalization, and data pipeline initiatives. You will be on a small, high impact team who both decides on the best architectural decisions and implements them. We are in the process of moving our ETL job from batch to streaming/event based and need thought leaders to help support the future of large realtime pipelines. These pipelines will make a big impact for the business through analytical insights, building machine learning products, and supporting realtime personalization through our website. You will own critical systems throughout the platform and be responsible for their development, adding new, valuable features, and ensuring that these systems perform correctly. *States Not Eligible: AK, AR, DE, KS, MS, ND, SD, WY What You Get To Do Everyday Design and build integrations between our data platform and internal and external services. Own end to end delivery of data infrastructure projects, from requirements gathering through production deployment and monitoring What You Bring To The Role Minimum Requirements: 7+ years of relevant data engineering experience Strong systems design skills with experience architecting data platforms from the ground up Proven experience building integrations with external services (REST APIs, webhooks, streaming platforms) Strong hands-on experience with dbt data modeling, testing, incremental models and project organization Proficiency with cloud data platforms. GCP (preferred) or AWS or Azure Expert level command of git, code reviews and CI/CD workflows Active experience using AI coding tools (Cursor, Claude etc) to enhance productivity Excellent communication skills, able to translate technical concepts for non-technical stakeholders Track record of owning projects end-to-end with minimal supervision Preferred Requirements: Experience with data orchestration tools (Airflow) Familiarity with streaming platforms (Kafka, Pub/Sub) Python proficiency for scripting and automation Experience establishing data quality frameworks and monitoring systems Background working in fast-paced, iterative environments Compensation, Benefits, + Perks Employee Stock Purchase Plan 401K with Company Match Medical, Dental & Vision Insurance Paid Parental Leave Unlimited Discretionary Time Off (DTO)* and 10 Paid Company Holidays * Unlimited DTO with Manager approval The expected salary range for this role is $175,000.00-$200,000.00. To determine starting pay we carefully consider a variety of factors, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal parity. Additionally, salary is just one component of TRR’s total rewards package. Depending on role, employees may also be eligible for a bonus program, incentive pay and benefits. The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods, with 37 million members. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have hundreds of in-house gemologists, horologists, and brand authenticators who inspect thousands of items each day. As a sustainable company, we give new life to pieces by thousands of brands across numerous categories—including women's and men's fashion, fine jewelry and watches, art, and home—in support of the circular economy. We make selling effortless with free virtual appointments, in-home pickup, drop-off, and direct shipping. We handle all of the work for consignors, including authenticating, using AI and machine learning to determine optimal pricing, photographing and listing their items, as well as shipping and customer service. The RealReal is committed to providing an equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or Veteran status. We will consider qualified applicants for a position regardless of arrest or conviction records. At TRR, People Come First. That’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our Diversity Equity and Inclusion program here. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

At Robots & Pencils, we harness the power of data to help our clients achieve meaningful digital transformation. We’re seeking a Senior Data Architect/Strategist who blends advanced data knowledge with real-world problem solving, someone who can move seamlessly between developing predictive models and translating complex data into clear, actionable insights. This is a high-impact role ideal for a candidate who thrives at the intersection of innovation and execution. You’ll be an integral part of a multidisciplinary team using data science and machine learning to drive intelligent products, automation, and smarter business decisions. About Yo u You’re passionate about discovering what data can reveal. You approach problems with curiosity and scientific rigor, always looking to test, learn, and improve. You have deep experience with statistical modeling, machine learning, and experimentation. You're collaborative, business-savvy, and known for delivering results that move the needle. Experience is required in technical leadership, mentoring of staff and recommend training of staff. Also experience in working closely with complex customers. What You’ll Do Modeling & Advanced Analytics Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization). Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges. Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact. Data Exploration Analyze large, complex datasets to extract key insights and translate them into strategic recommendations. Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization. Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions. Partnership & Enablement Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications. Mentor junior data scientists, supporting technical development and scientific rigor. Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact. Qualifications & Experience

Job Overview We are seeking a skilled Data Engineer to join our team and drive our data infrastructure forward. In this role, you will primarily focus on maintaining and enhancing our data warehouse and pipelines (80%) while also contributing to data analysis and reporting initiatives (20%). You'll work closely with cross-functional stakeholders to build robust data solutions and create actionable insights through compelling visualizations. Key Responsibilities Data Engineering - Infrastructure Management: Maintain, enhance, and optimize existing data warehouse architecture and ETL pipelines. - Pipeline Development: Design and implement scalable ETL/ELT processes ensuring data quality, integrity, and timeliness. - Performance Optimization: Monitor and improve pipeline performance, troubleshoot issues, and implement best practices. - Documentation: Create and maintain comprehensive documentation for data engineering processes, architecture, and configurations. Data Analysis & Reporting - Stakeholder Collaboration: Partner with business teams to gather requirements and translate them into technical solutions. Required Qualifications Technical Skills - Programming & Query Languages: Strong proficiency in Python, SQL, and PySpark. - Big Data Platforms: Experience with cloud data platforms including Snowflake, BigQuery, and Databricks. Databricks experience highly preferred. - Orchestration Tools: Proven experience with workflow orchestration tools (Airflow preferred). - Cloud Platforms: Experience with AWS (preferred), Azure, or Google Cloud Platform. - Data Visualization: Proficiency in PowerBI (preferred) or Tableau. - Database Systems: Familiarity with relational database management systems (RDBMS). Development Practices - Version Control: Proficient with Git for code management and collaboration. - CI/CD: Hands-on experience implementing and maintaining continuous integration/deployment pipelines. - Documentation: Strong ability to create clear technical documentation. Experience & Communication - Professional Experience: 3+ years in data engineering or closely related roles. - Language Requirements: Fluent English communication skills for effective collaboration with U.S. based team members. - Pipeline Expertise: Demonstrated experience building and maintaining production data pipelinesk