About Air Space Intelligence ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority—compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what’s possible. What You Will Do: You will own the reality layer that powers ASI's defense products. You will operate, improve, and expand the data flows that move operational data from mission systems into usable, trusted datasets for decision-making. This role is equal parts data engineering, data forensics, and technical communication. You will dig into real-world data, determine what it actually means, and translate findings into clear, actionable pipelines ready to drive mission-critical decisions for end users. What We Value: - Strong fluency with modern data engineering tooling and patterns: streaming and batch pipelines, schema evolution, data contracts, and lineage. - Demonstrated ability to debug data: profiling, anomaly detection, reconciling sources, and separating signal from noise while cross-validating. - Strong technical communication skills: you can explain what the data is doing, what it means, what is broken, why it matters, and what engineering should change. - Comfort with distributed messaging and processing (Kafka, Flink, Spark, or equivalents) and modern orchestration (Airflow, Dagster, Temporal, or similar). - Strong grasp of API design and integration patterns (REST, gRPC, GraphQL) and experience working across a range of data formats and wire-level protocols (JSON, XML, Protobuf, and binary protocols like JREAP-C or CMF-B). - Working knowledge of modern network protocols, firewalls, system level connections, cross-system authentication, and an enthusiasm to get data flowing. - Familiarity with defense operational data and mission systems, with an appreciation for delayed reporting, inconsistent identifiers, changing semantics, and obscure edge cases. - Comfort operating in classified network environments (e.g., SIPR, JWICS) and working within accreditation boundaries (IL5/IL6, ATO processes). - Experience deploying data infrastructure on Kubernetes and across hybrid cloud and on-prem environments. - A bias for action and distinct aptitude for problem solving in ambiguous environments. - Active SECRET or TOP SECRET U.S. Security Clearance. How We Hire: We look at the interview process not as a screening or test, but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.

• Build extraction pipelines from SAP HANA to AWS S3 using SLT, ODP, CDS views, SDI, and native HANA SQLScript, picking the right tool per source and per latency requirement. • Model raw SAP tables across FI/CO, MM, SD, and adjacent modules into clean, semantically meaningful datasets that the downstream Spark layer and business users can actually use. • Design and operate delta and CDC patterns so incremental loads stay correct, idempotent, and replayable. • Write ABAP extractors where standard SAP tooling falls short, and document them so future engineers can change them safely. • Own the write-back path: load curated data from S3 into SAP BW / BW4HANA and model it for end-user reporting and analytical querying. • Land data in S3 as Parquet with sane partitioning, schemas, and IAM scoping, and define the contract with the PySpark engineer at the ingestion-to-transformation boundary. • Embed with a customer team, ship the pipeline to production, and stay close enough through cutover to know it actually runs.

• Help with optimization, support and deployment of our cloud-based data systems • Build secure, scalable, and compliant database solutions using Azure SQL Server, and other cloud-native technologies • Support the evolution of our analytics lakehouse and all of its data sources • Ensure platform supports real-time clinical workflows, patient data analytics, and regulatory reporting

Role Description We are looking for a Data Integration Specialist to build, optimize, and maintain automated data pipelines for a remote business intelligence environment. This role ensures operational and financial data from multiple systems arrives clean, structured, and reliably for reporting and analytics. - Build and manage ETL/ELT pipelines using tools such as n8n, Microsoft Power Automate, and SQL. - Connect data sources through REST APIs, including OAuth authentication, JSON parsing, and webhook management. - Query, clean, and manipulate data using SQL, including PostgreSQL or T-SQL. - Prepare and transform complex datasets using advanced Power Query / M and Python before they feed into analytical models. - Configure, monitor, and troubleshoot Power BI Gateway connections, refresh schedules, and pipeline errors. - Create stable API integrations with third-party platforms such as ERP, POS, CRM, Excel, and SharePoint systems. - Establish and follow standards for folder structures, API logging, documentation, Git workflows, branches, and pull requests. - Document integration architecture, pipeline flows, data sources, and troubleshooting procedures. - Hands-on experience with automation and ETL tools such as n8n and/or Microsoft Power Automate. - Strong understanding of REST APIs, JSON, OAuth2, and webhooks. - Advanced Power Query / M language skills. - Intermediate Python / pandas experience for ETL and data transformation. - Advanced SQL skills and solid knowledge of relational databases. - Experience with version control, code reviews, and structured technical documentation. - Strong attention to data integrity, accuracy, and reliable pipeline performance. - Ability to independently solve unstructured data, integration, or connectivity issues with a systems-thinking mindset. Schedule - Monday to Friday, 8:00 AM – 12:00 PM (EST) - Fully remote work environment - Stable, long-term collaboration with potential to scale - Clear scope of responsibilities and structured workflows - Training and onboarding support - Opportunity to work with international teams - Exposure to modern BI, analytics, and financial reporting processes - Supportive and collaborative work culture - Opportunity for skill development and career growth Before You Apply, Please Read: - These are professional roles with set schedules defined by the client. - Consistent availability is expected. You will have a set work schedule determined by the client, and you are expected to be present during those hours. - You will be part of the client’s team. You’ll follow their company guidelines, communication practices, and workflows, ensuring seamless collaboration. - Your performance will be measured to ensure alignment with client expectations and project objectives. - Training may be required. You might need to complete training to fully understand your role, tools, and client processes. - Commitment and responsibility are essential. We work with clients who rely on your dedication to deliver consistent, high-quality results. This is key to building trust and long-term partnerships. - Ready to grow your career with us? Apply only if you are ready to commit, learn, and take ownership of your role.