Role Description The Senior Data Engineer is responsible for designing, implementing, and maintaining enterprise-scale data architecture solutions. This role designs and develops a greenfield data lakehouse system, including data ingestion pipelines, storage optimization, and high-performance query APIs. The position requires hands-on technical implementation combined with strategic architectural design skills and English speaking individual. Data Architecture Design - Understand PROBIS data model, identify bottlenecks and translate into actionable designs - Design a modern data lakehouse architecture for greenfield implementation - Architect scalable data storage and processing solutions using Azure ecosystem and applicable open source components - Design the best stack for the job, considering data sovereignty and storage requirements in target markets Technical Implementation - Implement data ingestion pipelines from existing postgres database systems and integrations - Improve the .net based data access of existing postgres system - Build and verify high-performance query APIs on top of the greenfield design, enabling orders of magnitude growth in data volume, with improved performance - Develop and optimize data transformation processes - Set up monitoring and observability for reliable live operation System Integration - Integrate the data lakehouse with existing enterprise systems - Design and implement performant query engines for user interfaces - Ensure data consistency and quality across integrated systems Documentation and Compliance - Execute performance and consistency testing under increased loads - Collect evidence and document the architecture - Ensure compliance and support necessary certification processes Qualifications - Minimum 6 years of experience in data engineering - Minimum 4 years of hands-on experience with Microsoft Azure data services - Proven track record of shipping performant data projects on Azure / Postgres / Data Factory / Databricks Requirements - Expert proficiency in Microsoft Azure data platform (Synapse, Data Factory, SQL Databases, Data Lake) - Good .NET Core development skills - Strong SQL and database (psql) optimization capabilities - Experience with data modeling techniques and methodologies - Ideally, experience with sovereign data solutions including Spark based data warehousing - Knowledge of ETL/ELT processes and data pipeline design Benefits - Opportunity to work with cutting-edge AI, cloud technologies and tools - Full access to our comprehensive toolset - Flexible remote work options with home office capability - International, team-oriented atmosphere with flat hierarchies - Culture of open feedback and quick decision-making processes - Regular team and company events - Opportunity to shape the technical direction of a growing PropTech company - Highly professional and high-skilled Senior Developers

**MUST RESIDE IN CENTRAL OR EASTERN TIME ZONE** Work at Home Opportunity Data Engineer - Full-time BELAY is a growing and vibrant, Atlanta, GA-based company that offers virtual staffing solutions in the areas of Virtual Assistants, Marketing Assistants, and Financial Specialists. We are a fast-paced team of high performers that work extremely hard but also know how to have a great time. Culture is a top priority and our values are lived out daily. Who is BELAY? Click here and enjoy! Below are the position requirements. Job purpose The Data Engineer will play a critical role in designing and maintaining Belay’s modern data stack. This role is responsible for building reliable, scalable data pipelines, optimizing warehouse performance, and implementing robust orchestration frameworks. The ideal candidate is highly technical, systems-minded, and experienced in Snowflake-centric environments with strong PostgreSQL and data orchestration expertise. You should be comfortable owning data infrastructure end-to-end and partnering cross-functionally with analytics, finance, and engineering teams. Duties and responsibilities As a BELAY Corporate Team member, you will professionally represent the company in all virtual and in-person interactions. You are expected to exemplify our mission, vision and core values daily, fostering a collaborative and positive team environment. Key Responsibilities Data Architecture & Engineering - Design, build, and maintain scalable ELT/ETL pipelines - Develop and optimize data models in Snowflake/PostgreSQL - Ensure data reliability, integrity, and performance across the platform - Implement best practices for data warehousing and pipeline efficiency Orchestration & Workflow Management - Build and manage workflows using Apache Airflow/Dagster - Design robust orchestration frameworks for batch and near-real-time pipelines - Monitor pipeline health and implement proactive alerting - Troubleshoot and resolve data pipeline failures quickly Database Management - Work extensively with Snowflake and PostgreSQL for source systems and operational workloads - Optimize queries and database performance - Design and maintain data ingestion patterns from Postgres to Snowflake Performance & Scalability - Tune Snowflake workloads for cost and performance efficiency - Implement partitioning, clustering, and workload management strategies - Continuously improve pipeline speed and reliability Collaboration & Strategy - Partner with analytics, finance, and product teams to support reporting needs - Translate business requirements into scalable data solutions - Mentor junior data engineers and promote best practices - Contribute to the long-term data architecture roadmap Qualifications This role requires a motivated and trustworthy self-starter with strong communication and technological skills who thrives both independently and on a team. Our ideal corporate team member is flexible, creative, well-organized and ready to roll up their sleeves to get the job done! Required Qualifications - 5+ years of experience in data engineering or related field - Strong hands-on experience with Snowflake - Strong experience with PostgreSQL - Proven expertise with Apache Airflow or Dagster and workflow orchestration - Experience building and maintaining modern ELT/ETL pipelines - Advanced SQL skills and strong data modeling experience - Experience with orchestration and pipeline monitoring best practices - Familiarity with cloud data architectures (AWS, GCP, or Azure) - Strong problem-solving and performance tuning skills - Excellent communication and documentation abilities Preferred Qualifications - Experience with dbt or similar transformation frameworks - Experience with real-time or streaming pipelines - Infrastructure-as-code experience (Terraform or similar) - Experience supporting finance or operational analytics teams - Background in high-growth or services-based companies Working conditions BELAY Corporate offers full-time remote work, requiring a dedicated, distraction-free home office for standard Monday-Friday business hours, with occasional travel for some roles. As a full-time/part-time, exempt/non-exempt W-2 employee, you'll join a vibrant, award-winning company culture where you're a valued, engaged team player in a thriving organization. Physical requirements This position does not have any physical requirements at this time. Salary Range $110,000 - $150,000 DISCLAIMER: We’ve recently seen job postings claiming to be from BELAY that aren’t affiliated with our company. Please be sure to only apply to our positions on https://belaysolutions.com/jobs/ and only reply to emails ending in @belaysolutions.com.

• Monitoring Checks: Perform regular monitoring of data processes to ensure smooth operation and identify potential issues. • Incident Support and Solving: Provide prompt support for incidents, troubleshoot problems, and implement solutions to minimize downtime. • Continuous Improvement: Identify opportunities for improving the production environment and implement changes to enhance efficiency and reliability. • Failure Management: Proactively avoid and capture failures in data processing to ensure uninterrupted service. • Communication & Documentation: Maintain clear and effective communication with stakeholders and document processes, incidents, and solutions. • KPI Monitoring: Monitor key performance indicators, including data set availability percentages, to ensure service quality. • Tickets Management: Manage tickets by creating, assigning, following up, and resolving issues in a timely manner. • Knowledge Base Management: Develop and maintain a comprehensive knowledge base to support ongoing operations and incident resolution.

Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. At Boeing Digital Services, you'll be a part of a team that creates innovative digital solutions and analytics that drive the future and evolution of Digital Services and enable our customers to transform the way they do business. Using agile digital technology, our solutions optimize all aspects of the aircraft operations and maintenance ecosystem including safety, environmental sustainability, and efficiency. Boeing Digital Services is seeking Lead Data Steward, reporting to the Software Development Manager. The Lead Data Steward will be responsible for delivery of cutting-edge aviation data analytics products. As part of an integrated product team the Lead Data Steward will be part of technical team taking responsibility for Data Analysis, Data Maintenance and Data product development. This role will work with portfolio leadership, development teams and stakeholders to establish and drive the implementation, technical strategies and roadmaps for the success of each product and initiative. This position has been identified as a virtual opportunity and will not require the selected candidate to relocate. Position Responsibilities: - Lead stewardship for Aviation Operations data domains (flight telemetry, flight plans, maintenance, sensors, logs), owning data product roadmaps and delivery. - Define and enforce data product contracts: schema, semantics, SLAs, lineage, ownership, quality rules, and access policies. - Define and validate end-to-end data flows on Azure Databricks (ingest → transform → publish) to meet Machine Learning (ML) and Business Intelligence (BI) requirements. - Establish and operationalize a data quality framework and monitoring (completeness, accuracy, timeliness, schema drift) using tools and automated tests. - Drive metadata and catalog governance (business glossary, tags, descriptions, sample queries, contact points) and champion adoption of Unity Catalog or equivalent. - Lead change management for schema and feature changes, ensuring reproducibility and minimizing downstream impact to ML/BI assets. - Mentor and coordinate cross-functional teams (Data Engineers, Data Scientists, Product Owners, Ops SMEs) to deliver and maintain data products. - Oversee data access management and Role Based Access Control (RBAC), ensuring compliance with aviation security, privacy, and regulatory requirements. - Define runbooks, incident response procedures, and operational KPIs for data product health and reliability. - Act as the primary liaison for stakeholders, prioritizing enhancements, and resolving production escalations quickly. - Promote continuous improvement through data profiling, harmonization, enrichment, and automation of manual data tasks. Basic Qualifications (Required Skills/Experience): - 8+ years' of experience in data stewardship, data governance, data engineering, or related roles - 2+ years' in a senior/lead capacity - 2+ years' experience implementing strategy related to data quality tooling and pipelines Preferred Qualifications (Desired Skills/Experience): - Prior experience in aviation/flight operations, or working with time-series, telemetry, and sensor datasets - Familiarity with ML feature stores, MLOps practices, and ensuring feature lineage and reproducibility - Familiarization with Azure Databricks and Delta Lake, including designing transformative jobs, clusters, and job orchestration - Familiarization of Bronze/Silver/Gold layering and best practices for feature readiness and ML use cases - Understanding of RBAC/IAM on Cloud and managing secure data access in enterprise environments - Understanding of cloud ecosystem: Storage, Monitoring and Deployment - Understanding of Data distribution ecosystem like Databricks - Experience with metadata/catalog tools (preferably Unity Catalog or Alation) - Understanding of CI/CD for data pipelines, Git-based workflows, and infrastructure-as-code patterns - Excellent stakeholder management, written and verbal communication skills, and ability to translate business needs to technical requirements - Bachelor's degree in Computer Science, Data Science, Engineering, Aviation, or related field or equivalent experience Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage, and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $138,550 - $215,050 Applications for this position will be accepted until Apr. 18, 2026 Export Control Requirements: This is not an Export Control position. Relocation Relocation assistance is not a negotiable benefit for this position. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.