This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Impact Advisors is seeking a dynamic and motivated Data Migration Director to join our Oracle Health team. In this role, you will be instrumental in leading enterprise data conversion strategy for large-scale EHR transformations. This position offers a unique opportunity to contribute to client success while making a meaningful impact on the healthcare industry. - Define framework for conversion, abstraction, archival, and legacy system retirement. - Oversee mapping, transformation logic, reconciliation standards, and validation protocols. - Partner with clinical and revenue cycle leaders to validate data accuracy and completeness. - Lead mock conversions, final load strategy, and go-live data readiness assessments. - Manage archival strategy and ensure appropriate access and compliance post-transition. Qualifications - Bachelor’s degree required; advanced degree preferred - 10+ years healthcare IT experience - 5+ years leading enterprise data migration initiatives - Oracle Health (Cerner) conversion experience strongly preferred - Data mapping and reconciliation expertise - Knowledge of clinical and revenue cycle data domains - Regulatory and compliance understanding - Executive reporting and stakeholder engagement - Strong program leadership capability Requirements - Client dependent travel required. Benefits - Compensation for this role includes a salary range of $125,000-$250,000. - This role may also be eligible for an annual performance bonus. - Additional benefits and perks may also be available, depending on the position and employment terms.

We are looking for an experienced Data Engineer Consultant to join our team. The ideal candidate will possess strong SQL development skills, expertise in data visualization, and solid knowledge of dimensional modeling. As a Data Engineer Consultant, you will work closely with our clients to design, develop, and optimize their data infrastructure, ensuring the delivery of high-quality data solutions that meet business requirements. Key Responsibilities: Data Infrastructure Development (ETL, SQL): Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs. Develop and optimize complex SQL queries for data extraction, transformation, and loading. Diagnose and troubleshoot data-related issues, providing quick and effective resolutions. Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance. Utilize a proactive approach to foresee potential problems and address them before they impact clients' operations. Dimensional Modeling and Data Modeling: Design and implement dimensional models to support data warehousing and business intelligence initiatives. Design and implement different data modeling techniques to meet business’ data demands that align with data architecture design. Develop and maintain data schemas, ensuring data integrity and consistency for clients. Data Visualization: Create and maintain dashboards and reports using data visualization tools to provide actionable insights. Train clients on best practices for using data visualization tools to maximize value. Client Consultation: Engage with clients to understand their data needs and business objectives. Conduct detailed requirements analysis and provide recommendations for data infrastructure improvements. Work closely with client teams, data scientists, analysts, and other stakeholders to understand data needs and provide technical support. Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner. Qualifications: Bachelor’s degree in computer science, Information Technology, or a related field. 3+ years of experience in data engineering, data warehousing, or a similar role. Strong proficiency in SQL Proven experience with data visualization tools and theory. In-depth knowledge of dimensional modeling concepts and techniques. Familiarity with ETL tools and processes. Strong problem-solving skills and attention to detail Experience with cloud-based data platforms Excellent communication and collaboration skills, with the ability to work effectively with clients. The desired salary range for this position is $90,000 - $140,000 per year.  This is a full time role with the practice. About Us At Datalere, we work with our clients to transform their enterprise through the use of modern compute technologies and proven deployment processes providing cost effective durable solutions for the competitive world. If you are seeking new challenges, interested in staying up to date with the latest releases and can deliver uncompromised service to our customers, then we’d like to hear from you. If you are interested and meet the above qualifications, please submit your resume and cover letter indicating your interest to join our team.

Sr. Data Engineer, Marketing Analytics Role Summary As a Senior Data Engineer, Marketing Analytics, you will play an integral role in building Crowd Street’s new data platform from zero to one.  You will have the opportunity to influence the architecture of our new data platform and be responsible for the full lifecycle of software development, including design, implementation, testing, documentation, operation, and ongoing support. In this role, you will interact directly with teams across Crowd Street’s business to translate ambiguous data needs into actionable initiatives with particular emphasis on supporting Marketing with timely data collection and aggregation across various sources, as well as the creation of actionable reporting on key Marketing performance indicators. The Success You’ll Build Unlock business-critical reporting through the ingestion of disparate data sources into our centralized data platform, including Marketing data from Google Ads, Google Analytics, Google Tag Manager, LinkedIn, Meta and other sources Reveal key insights through proper data modeling, aggregation and analysis in our data warehouse to enable reporting on ad campaign performance, attribution and user journey analysis Own and maintain data pipelines that support the essential day-to-day operation of Crowd Street’s business Collaborate with Application Engineering, Product Management, Marketing and other teams to identify and deliver the highest impact enhancements in a timely manner Monitor and manage the overall effectiveness of the data platform to balance performance, stability, and cost The Experiences and Competencies Necessary for Success 5+ years of experience working hands-on in Microsoft’s Azure data stack including: Azure Data Factory Experience building ETL pipelines from scratch Experience independently troubleshooting and resolving issues Azure Synapse Analytics Experience building and maintaining data warehouses Experience writing Python (or similar) code in Synapse or Databricks Notebooks 3+ years of experience working hands-on with Google’s Marketing Analytics platform including: Google Ads Experience automating data export via API Experience building campaign performance reports summarized by channel & creative Google Analytics Experience automating data export via API Experience defining and measuring custom events Google Tag Manager Experience creating events and implementing triggers Experience debugging tag events on live sites Experience creating data models and authoring reports in Power BI Experience working in a dynamic startup environment Comfortable decomposing large, ambiguous projects into actionable tasks Experience designing and implementing data platforms using industry best practices Experience interacting directly with Marketing stakeholders to identify requirements and translate objectives into data solutions Preferred Qualifications Experience migrating Azure Data Factory & Synapse Analytics to Microsoft Fabric Knowledge of various Marketing attribution methodologies (first, last & multi-touch) Understanding of key Marketing metrics (CAC, CPC, CPM, etc.) Compensation & Benefits Statement The estimated salary range for this position is $140,000 - $160,000 per year. Internal level, title, and compensation for the final offer will be determined based on a variety of factors, including years of experience, skills, qualifications, and overall fit for the role. In addition to base salary, we offer a comprehensive benefits package , which includes: Stock option equity to share in the company’s success Variable pay opportunities based on performance 401(k) plan with corporate match to support long-term financial well-being Flexible time off to support work-life balance Home office stipend to help create a productive remote workspace Comprehensive health benefits , including medical, dental, and vision coverage We are committed to providing competitive compensation and benefits to support our employees' well-being and professional growth. Learn more about our benefits here. About Crowd Street At Crowd Street, our purpose is to inspire and empower our members to achieve their financial ambitions —and that mission starts with us. We are the leaders of a movement to change how individuals access and invest in the private markets, breaking down barriers that once kept these opportunities in the hands of a select few. Since 2012, we’ve connected our members with a marketplace of alternative investment opportunities, beginning with commercial real estate and now expanding into new asset classes. Each investment we bring forward is backed by our commitment to rigorous due diligence, clear communication, and an exceptional investor experience. As a registered broker-dealer, we continue to raise the bar for transparency, access, and trust in the private markets. Every team member plays a role in this mission—whether by building tools, providing research, serving our members, or developing new opportunities. Together, we are shaping the future of investing and giving more people the ability to take control of their financial future. At Crowd Street, inclusion, equity, and diversity are necessary to achieve our goals. Our differences in age, race, gender, nationality, sexual orientation, physical ability, thinking style and background bring a variety of knowledge that makes us collectively smarter and better able to compete. We are committed to recruiting, developing, and advancing a diverse staff and engaging in the work that makes that possible.

About Prime Prime Financial Technologies is a software company with a mission to accelerate small businesses. At Prime, we harness advanced data science in credit decisioning to simplify and accelerate credit distribution to small and medium-sized businesses. Operating at the cutting edge of Embedded Finance and Ecosystem Lending, Prime’s focus is on embedded lending, where sophisticated data analytics are utilized to sharpen the accuracy of pre-qualification and underwriting processes and also deliver financial solutions that are customized to the needs of businesses. Prime’s integrations are designed specifically for marketplace and SaaS platforms, ensuring a seamless transaction experience for merchants and new diversified revenue streams for platforms. Our investors include Capital One and NEA. Time Zone Requirements The team operates in either East/West Coast time zones. Travel Requirements This team has regular onsite collaboration sessions. These occur several times per year and span consecutive days in the Bay Area, CA. How You’ll Make an Impact You will be instrumental in building out Prime’s data mesh. As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on. You will work directly with Product, Engineering, Data Science, ML, and Credit functions to understand stakeholder use cases and develop reliable, trusted data infrastructure for internal stakeholders. By joining our company at this stage, you’ll be taking on a meaningful role on an engineering team of just under 10 individuals with an average of 15 years of experience on which to draw from and learn from. You will have an immense impact on the company’s architecture and technical roadmap, not to mention the impact on financial outcomes of small business borrowers through their shared journey with Prime. What You’ll Do Design large scale, distributed data processing systems and pipelines Ensure the reliability and integrity of data at Prime Collaborate with other engineering, data science, and cross functional partners in service of our customers Influence and develop our architecture and technical roadmap Write high quality, maintainable and scalable code Identify and troubleshoot issues Maintain the quality bar for engineering excellence at Prime Stay up to date with emerging technologies, best practices, and industry trends in data engineering and software development Commit to integrating our core values of Win the Day, Get out of the Building, Embrace the Unknown, and Excellence as a Habit in all aspects of your daily responsibilities and professional interactions Technologies we use Languages: Python, Javascript Infrastructure: AWS, Terraform, Elastic Container Service, Elastic Load Balancer, API Gateway, SQS, SNS, Step Functions Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog Distributed Compute: Spark/Databricks Frameworks: Flask, React, Tailwind, REST Tooling: Github, Sentry, Grafana Multiple 3rd party financial system integrations What We're Looking For Minimum Requirements 8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines 4+ years as a data engineer building data products Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc) Passion for everything data: data models, catalogs, analytics, pipelines, and solving complex data problems Experience with the complete development cycle, from product definition to delivery Excellent communication skills Growth mindset Bias to action Evidence of constant learning The motivation and ability to work well in a high-growth and dynamic environment Preferred qualifications Experience serving Data Science & ML Engineering Teams Start up and fintech experience a huge plus DevOps knowledge What You'll Love Competitive salary and equity grants Top tier medical, dental vision insurance Life insurance and disability benefits Personal development, technology, and ergonomic Budgets 401K matching Unlimited PTO, work from home flexibility, and parental leave Transparent company culture and proactive communication via weekly all hands, lunch & learns, and monthly founder AMAs Senior team of experienced professionals highly motivated to solve tough problems and ship remarkable products Join our growing team as we build out the next generation of lending infrastructure for small businesses.