Role Description itD is seeking a Data Engineer to support a high-impact enterprise data migration initiative focused on transitioning business-critical operations from Salesforce to an internal entity-modeled data platform. This role will contribute directly to the success of Meta’s Developer Ecosystem Success organization by building scalable ETL pipelines, designing data architectures, and ensuring reliable, AI-ready data infrastructure across distributed systems. - Design and build bidirectional ETL/ELT data pipelines between Salesforce, distributed data warehouses, and internal operational data platforms. - Develop and maintain streaming data pipelines using Kafka, Kinesis, Pulsar, or equivalent distributed event-streaming systems. - Design and manage dimensional and entity-modeled schemas, including access permissions and mutation rules. - Build data validation, reconciliation, and monitoring frameworks to ensure data quality, consistency, and auditability throughout migration activities. - Develop and maintain schema documentation, transformation logic, data dictionaries, and source-to-target mapping documentation. - Collaborate with software engineers, Salesforce administrators, and business stakeholders to define data contracts, SLAs, and migration requirements. - Investigate and resolve data quality issues, pipeline failures, and reconciliation discrepancies across batch and streaming workloads. - Utilize AI-assisted development tools such as GitHub Copilot, Cursor, and Claude Code to accelerate development workflows and schema migrations. - Support data restructuring and transformation initiatives to prepare datasets for downstream AI and analytics applications. Qualifications - 5+ years of professional data engineering experience. - Strong proficiency in SQL and relational databases such as MySQL. - Experience with Hack/PHP development and GraphQL. - Hands-on experience building and maintaining large-scale ETL/ELT pipelines in distributed data warehouse environments such as Hive, Spark, Presto/Trino, BigQuery, Snowflake, or Databricks. - Experience with real-time event-streaming systems including Kafka, Pulsar, Kinesis, or equivalent technologies. - Experience with ORM frameworks and entity/schema modeling. - Strong understanding of data quality engineering, validation, reconciliation, and monitoring frameworks. - Experience using AI-assisted coding tools such as GitHub Copilot, Claude Code, or Cursor within development workflows. - Strong troubleshooting, problem-solving, and communication skills with the ability to work independently. Requirements - Experience with Salesforce data migrations and integrations. - Familiarity with AI-ready data architecture and AI development workflows. - Experience supporting event and subscription handling systems. - Prior experience working within large-scale technology or distributed systems environments. - Experience collaborating with cross-functional engineering and business operations teams. Education - Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field required. Benefits - Comprehensive medical benefits. - 401k plan. - Paid holidays. - Networking & career learning and development programs. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries.

• Own the dbt project architecture, including model structure, naming conventions, testing standards, CI/CD pipelines, and documentation frameworks to ensure consistency across all engineering work. • Manage the dataset delivery backlog with onshore stakeholders, including phase scoping, validation of source data availability, and sequencing of builds to maximise business value. • Govern code quality by reviewing all Silver and Gold models prior to UAT, ensuring no production deployment occurs without lead approval. • Own the end-to-end dataset handover process from Build to Run, including test sign-off, data catalogue documentation, observability configuration, and operational runbooks. • Coordinate and prioritise work across Build and Run workstreams operating in parallel, ensuring alignment and delivery efficiency. • Participate in standups (async where required) and lead sprint demonstrations on a fortnightly basis. • In Run steady state operations, own DataHub SLA performance, oversee new dataset onboarding, and act as the final escalation point for production support issues. • Own DataHub SLA performance, ensuring pipeline uptime and data freshness commitments are met across all production Gold datasets. • Manage new dataset intake from onshore teams, scoping requests and determining whether they require a new build phase or can be absorbed into the Run team. • Act as the primary escalation point for onshore stakeholders and the final offshore escalation for critical incidents that cannot be resolved by the data operations team.

• Semantic Model Architecture : Design and evolve the semantic modeling layer that serves as the single source of truth for metrics, dimensions, entities, and business logic across all data products. • Define the standards for how semantic models are authored, versioned, tested, and governed. • Evaluate and drive the semantic layer technology strategy (e.g., dbt MetricFlow or equivalent). • Data Product Enablement : Architect how the semantic layer is consumed across distinct product surfaces such as Reporting (high-performance BI platform for customers), and Agentic Analytics (metadata-rich, discoverable interfaces that enable AI agents to reason over and query the semantic layer). • Partner with adjacent teams to ensure the semantic layer meets each product’s unique requirements. • Performance & Scale : Own query performance, materialization strategies, pre-aggregation patterns, and cost optimization. • Ensure the semantic layer is highly performant and scalable as data volumes and consumer demand grow. • Platform & Governance : Build the semantic layer as a true platform experience: self-service metric onboarding, developer-friendly abstractions, clear documentation, data validation, and governance guardrails. • Make it easy for other teams to extend the semantic layer without compromising consistency or quality. • Technical Leadership : Operate as a technical leader across the Data & Reporting Platform organization. • Participate in and drive design sessions across teams. • Mentor engineers, manage stakeholder and leadership alignment. • Contribute to architecture decisions that span from data foundations through reporting and analytics. • Champion high-quality code with corresponding test coverage. • AI-Augmented Engineering : Use AI coding tools (Claude, Cursor, Copilot) as a core part of your daily workflow. • Drive adoption patterns, build team-specific contexts and workflows, and set the standard for how the team multiplies velocity through AI-assisted development.

Title: Quality Systems Specialist Location: Austin, Texas, 78702, United States Department: Support Job Description: Jeppesen ForeFlight is currently looking for a Quality Systems Specialist to join their team in the United States. A successful candidate will serve as an independent quality consultant providing end to end quality management support to all management levels in the company, across product teams, and functional organizations at all locations. Primary assignments are activities that require knowledge of the quality discipline. This is a hybrid role, requiring 2-3 days in the Austin, TX office per week. Candidates must live in Austin, TX metro area. Key Responsibilities: - Leads the introduction and/or maturation of new and/or existing quality management systems and their successful re-/certification(s) - Ability to independently develop solutions to a variety of complex problems by using established policies, and procedures - Creates and provides education and coaching on Corporate Quality Services (e.g., audits and compliance, investigations, improvement, embedded services, corrective action, documented information) and quality management principles - Develops metrics providing quantitative measures regarding process health and capability to enable the business to make decisions based on facts - Performs audits (i.e. product, system, and process) to determine conformance with standards (e.g., ISO 9001, RTCA DO-200B/ ED-76A), regulatory and customer requirements. Represents internal customer during external audits - Works with higher level management to determine need for and implement process improvements impacting multiple organizations and locations for continual improvement - Conducts non-conformance investigations to determine root cause and follow-up on resolution to ensure completion of corrective and preventive actions. Coordinates the reporting and provides trend analysis for non-conformance incidences - Continuously seeks to expand and improve personal knowledge in the area of quality management best practices Assists in the development and promotes adoption of new processes or changes to existing processes - Maintains quality directives, policies, processes, procedures and metrics to assure program, contract, customer, regulatory requirements, international standards and working agreements are deployed using established procedures Basic Qualifications: - 6+ years of experience implementing and/or maintaining a quality management system - 3+ years of experience utilizing process improvement and problem-solving methodologies - Experience using or applying metrics to measure performance to ensure high quality delivery Preferred Qualifications: - ISO-9001:2015 and/or ISO 27001:2022 Lead Auditor certification is highly desired - Experience working with RTCA DO-200B/ED-76A and AC 20-153B is highly desired - Certified Quality Auditor or other professional certifications highly desired - Six Sigma Green Belt highly desired About Jeppesen ForeFlight Jeppesen ForeFlight is a leading provider of innovative aviation software solutions, serving the Commercial, Business, Military, and General Aviation sectors globally. Combining Jeppesen’s 90-year legacy of accurate aeronautical data with ForeFlight’s expertise in cutting-edge aviation technology, the company delivers an integrated suite of tools designed to enhance safety, improve operational efficiency, and sharpen decision-making. Why You Should Join At Jeppesen ForeFlight, we know you want a rewarding career. To do that, you need challenging projects, a good work environment, and awesome coworkers. We believe in our employees, and we empower them to make a direct impact on our products and services messaging. We strive to provide our team and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits package includes but not limited to the following: - Medical, dental, vision insurance with Employer paid health premiums - Open PTO Policy - 401(k) with up to 10% company matching and immediate vesting - 12 Weeks Paid Parent Leave - Flight Training Rewards Pay is based upon candidate experience and qualifications, as well market and business considerations: Summary Pay Range: $100,000-$130,000 Jeppesen ForeFlight – EOE including Disability/Vets | Pay Transparency | E-Verify Participant