Join Aya Healthcare, winner of multiple Top Workplace awards! Come join our Data Operations team! In this hands-on role, the ideal candidate would help design, develop, and implement large scale, high-volume, high-performance, scalable data infrastructure and pipelines for client integrations. This person will have strong experience in cloud data design and management on the Azure platform. This person will join a nimble team working in a fast-paced environment for a great company where your opinion and experience matter. WHO WE ARE: We’re an $8+ billion, rapidly growing workforce solutions provider in the healthcare industry. We deliver tech-enabled services that help healthcare organizations meet and manage their contingent labor needs. We build and manage tech-enabled marketplaces for national and local healthcare talent and deliver contingent labor management solutions through our proprietary software platform. At Aya, we’re obsessed with creating exceptional experiences for our clients, clinicians and employees. In fact, we put employee satisfaction above all else. Our team members are responsible for incomparable customer experience and we know that happy employees are critical to maintaining happy clients. We foster an entrepreneurial, high-energy, low-bureaucracy culture and value innovative thinking and creative problem solving. We embrace diversity in thought and backgrounds unified by a commitment to high achievement. When you join Aya, you’ll be surrounded by teammates who care about you as an individual and leaders who will help you grow both personally and professionally. RESPONSIBILITIES: - Monitor and troubleshoot data pipeline and warehouse quality and performance issues, ensuring smooth operation and proactively addressing potential bottlenecks - Design, build, and maintain scalable ETL/ELT pipelines to transfer data to and from clients from diverse sources, such as APIs, cloud storage, and databases - Collaborate with client engineering teams to understand their data structures, identify source systems, and contribute to technical integration requirements - Stay updated with industry trends and advancements in data engineering and bring innovative ideas to continuously improve our data processes - Ensure data security, privacy, and compliance by implementing appropriate Azure policies, procedures, and encryption methods - Monitor and optimize the performance, scalability, and cost-efficiency of data storage and processing solutions on Azure REQUIRED QUALIFICATIONS: - Bachelor’s degree in computer science, information systems, or a related field - 2+ years of experience in cloud data architecture, design and data governance - Strong experience with Azure cloud services, such as Azure Data Lake Storage, Azure Data Factory, and Azure Synapse - Proficiency in programming languages, such as SQL, Python, Scala, or Java - Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure - Knowledge of various data storage solutions, such as relational databases, etc. - Creating & Managing documentation on methodologies, tools and techniques - Strong analytical problem-solving and the ability to explain complex technical designs to non-technical stakeholders - Willing and able to work irregular hours as needed WHAT WE OFFER: - Free premium medical, dental, life and vision insurance - Generous 401(k) match - Aya also offers other benefits to those that are eligible and where required by applicable law, including reimbursements and discretionary bonuses - Aya provides paid sick leave in accordance with all applicable state, federal, and local laws. Aya’s general sick leave policy is that employees accrue one hour of paid sick leave for every 30 hours worked. However, to the extent any provisions of the statement above conflict with any applicable paid sick leave laws, the applicable paid sick leave laws are controlling - Celebrations! We hit our goals and reward ourselves. - Company-sponsored virtual events, happy hours and team-building activities are always on the horizon — plus, you get a special treat on your birthday! - Unlimited DTO — we believe in time off! - Virtual yoga, meditation or boot camp classes offered daily COMPENSATION: Aya reasonably anticipates the pay scale for this position to be an annual salary of $100,000. The pay scale for this position may vary if applicant possesses experience outside of what Aya reasonably anticipates for this position. Bonuses are subject to the role and your manager’s discretion. Aya is an Equal Opportunity Employer (EEO), including Disability / Vets, and welcomes all to apply. Please click here for our EEO policy.

Description Design and optimize Snowflake schemas and data models. Develop clean, reliable datasets for Power BI dashboards and metric storehouses. Partner with analytics and BI teams to translate business needs into data solutions. Ensure data quality, governance, and performance across pipelines Provide power BI dashboards and support for various teams Skills Sql, Python, snowflake, etl Additional Skills & Qualifications healthcare experience and experience with digial datasets Job Type & LocationThis is a Contract position based out of Charlotte, NC. Pay and BenefitsThe pay range for this position is $45.00 - $55.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on Mar 25, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Position: Data Engineer, Hockey Operations [Remote] Department: Hockey Operations Reports To: Director, Research & Development Our Purpose We are building a championship organization that serves our fans, community, and business partners through world class sports and entertainment. We believe that Winning Matters, our Fans come first, with risk comes reward, great teams can achieve unimaginable results, honoring the Pacific Northwest is our duty and driving the business is our responsibility. Position Summary The Data Engineer will be part of the Hockey Operations Research & Development team, responsible for building and maintaining the data infrastructure that powers player evaluation, trade analysis, draft preparation, and real-time decision making across the organization. This is a small, high-ownership team where you’ll work closely with analysts, developers, and hockey operations staff who depend on the systems you build. You’ll design & implement pipelines, optimize data storage & retrieval, and help ship reliable, performant infrastructure that scouts and coaches actually use. In a typical week, you might be debugging a pipeline that ingests tracking data, meeting with a scout or analyst to understand a new report they would like created, and working with an analyst on feature engineering for a new model. The systems you build will directly shape how we evaluate players, prepare for games, and make decisions that end up on the ice. Philosophy We believe good engineering in this role means: - Building tools that help hockey operations staff make better decisions, faster - Ability to take loosely defined data requirements and deliver practical solutions - Choosing simple, reliable solutions over clever ones - Owning outcomes from problem through delivery, including incorporating user feedback - Shipping iteratively and learning from how the data is actually used - Noticing data quality or reliability issues early and addressing them proactively - Eagerness to learn the domain, grow as an engineer, and be open to mentorship You do not need to be a hockey expert on day one, but you should be genuinely curious about the domain. Must-Haves - 1+ year of data or analytics engineering experience in a production environment - Ability to independently design and maintain data pipelines in Python - Experience with ETL development, data modeling, and data warehousing - Experience with PostgreSQL or other relational databases at scale - Comfort working directly with non-technical users and translating their feedback into product decisions - Clear written communication and the ability to work with high autonomy Good-to-Haves - Experience with AWS or a similar cloud ecosystem - Experience with a modern data stack: cloud warehouse (Snowflake, BigQuery, Redshift), orchestration (Airflow/dbt) and pipeline tooling. - Experience working with high-frequency spatial or event-stream data (e.g. NHL puck and player tracking, optical tracking systems, or similar) - Passion for hockey or sports Key Considerations - This is a small team with limited layers between identifying a problem and owning it - Priorities shift with the hockey calendar — draft, trade deadline, free agency, and training camp all drive the roadmap - Data reliability is critical because hockey operations staff depend on accurate, timely information for real decisions - Requirements are not always fully defined. Comfort with ambiguity is essential Total Rewards Package Compensation - In accordance with Washington’s Equal Pay and Opportunity Act, the expected pay range for this position is $100,000 to $125,000. Actual base pay will depend on the employee’s experience and other job-related factors permitted by law. - This role is classified as full-time, exempt. Benefits & Perks - Company-paid medical, dental, and vision insurance, including premiums for eligible dependents enrolled in the plans - Company-paid life insurance and short & long term disability insurance - Company-paid employee assistance program and Headspace subscription - Flexible spending accounts and voluntary accident, critical illness, and hospital indemnity insurance available - 401k (pre-tax and Roth) with Company match up to 4% - 15 vacation days and accrued sick time - Minimum 10 paid holidays per year - Paid parental leave - Company-wide recognition platform Working Conditions - Remote position: Candidates located in the United States are preferred, but international candidates are welcome to apply - Minimal Travel (<10% travel): May be required to travel. Trips may require air travel and/or overnight stay away from home for one or more nights. - Some evening and weekend game coverage (shared across the team on a rotating basis) Seattle Hockey Partners, LLC and Seattle Arena Company, LLC are proud to be an equal opportunity workplace. We do not discriminate on 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 any protected category prohibited by local, state or federal laws.

About SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator’s list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: SmartAsset’s Data Engineering team builds and maintains the scalable, low-latency systems that power data access across the company. Our platform supports real-time and batch data needs for analytics, reporting, and machine learning, serving teams across Marketing, Product, Sales, and Finance. You’ll be part of a growing data organization that includes analysts, data scientists, and ML engineers that are at the forefront of AI/ML application for the company. As a Senior Data Engineer, you'll work cross-functionally to evolve our architecture, optimize data latency, and build robust solutions that enable data-driven decisions at scale. About the Job: SmartAsset is looking for a seasoned Senior Data Engineer with 7+ years of hands-on experience to help build and optimize the backbone of our data platform. In this role, you’ll design and implement high-impact, cloud-native solutions that improve data reliability, reduce latency, and scale with our growing business. You’ll play a key role in enabling data products, real-time analytics, and cross-functional decision-making by delivering clean, well-structured, and accessible data. Responsibilities: Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology. - Develop and manage robust data integrations with external vendors and organizations (including complex API integrations). - Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions. - Lead and take ownership of assigned technical projects in a fast-paced environment. - Drive continuous improvement in the quality, security, efficiency, and scalability of our data pipelines and infrastructure. Skills/Experience you have: - Bachelor of Science degree in Computer Science or equivalent practical experience. - 4+ years of dedicated experience building and maintaining complex ETL/ELT pipelines. - 3+ years of Python development experience, specifically building production-grade data APIs using FastAPI or similar frameworks. - Strong expertise in SQL, including advanced query optimization and performance tuning. - Expert-level proficiency in dbt implementation, including managing models, macros, and incremental and dynamic tables. - Extensive hands-on experience with Snowflake, including performance optimization, data recovery using Time Travel, and advanced data modeling techniques. - Practical experience with key AWS data services such as Kinesis, Firehose, Redshift, Spectrum, Elastic MapReduce, and Lambda; and container orchestration services like ECS and EKS for deploying and managing data applications. Skills/Experience preferred: - Proven experience designing and building near real-time data processing systems. - Experience with data observability tools for proactive monitoring of data quality, lineage, and pipeline health. - Familiarity with modern data orchestration platforms such as Argo or Airflow. - Hands-on experience with the full software development lifecycle (SDLC), including strong CI/CD practices for data pipelines and proficiency with data testing frameworks. - Demonstrated ability to identify and adopt new technologies that improve data quality and reliability. - Deep understanding of the data lifecycle, emphasizing the importance of high-quality data in applications, machine learning, business analytics, and reporting. - Proven track record of mentoring junior team members. - Experience with data ingestion tools like Singer is a plus. - Knowledge of analytics tools such as Tableau, Plotly, and Pandas. - Experience in the financial services industry. Physical Requirements: - Prolonged periods of sitting at a desk and working on a computer - Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks: - All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US. - Medical, Dental, Vision - multiple packages available based on your individualized needs - Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available - Supplemental Short-term and Long-term Disability - FSA: Medical and Dependant Care - 401K - Equity packages for each role - Time Off: Vacation, Sick and Parental Leave - EAP (Employee Assistance Program) - Financial Literacy Mentoring Program - Pet Insurance - Home Office Stipend SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at Recruiting@smartasset.com. California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents* $135,500 - $200,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.