• As the Data Engineering Lead for B2B Data Products, you will help design, build, and scale data solutions that extend the capabilities of our B2B Identity platform. • Create high‑quality B2B data attributes, strengthen professional‑to‑consumer linkage processes, and champion engineering excellence across the product ecosystem. • Collaborate closely with partners across product, identity, and engineering to align goals, shape strategy, and deliver consistent, reliable data experiences. • Partner with product leaders to translate product strategy into technical workstreams and delivery plans. • Design and maintain data pipelines that process firmographic, professional, and consumer‑level data attributes. • Lead and mentor a distributed engineering team, including offshore team members, with clarity, structure, and support.

• Design, develop, optimize and maintain scalable data pipelines and transformations using Databricks, Apache Spark and SQL. • Implement data ingestion, transformation, and orchestration workflows to support back and where applicable real-time processing. • Perform data quality assurance activities, including identifying and resolving any inconsistencies in data flow, data outside legitimate ranges, and illogical data responses by developing data quality reports and investigation and resolution of data anomalies or errors by using a combination of software packages including SAS, Excel, and other software as warranted. • Use technical expertise, initiative, creativity, critical thinking, and strong communication and interpersonal skills daily to solve data quality problems in support of technical development efforts. • Implement data quality controls to ensure accuracy, completeness, and reliability of datasets. • Document data pipelines, transforms, business rules and data dependencies using appropriate technical documentation methods (e.g., data flow diagrams, data dictionaries, etc.). • Serve as liaison and coordinate with a multi-disciplinary team. • Collaborate with the program team to identify opportunities for process improvements, making strategic adjustments, and exploit opportunities focused on maximizing programmatic impact. • Communicate data issues, risks, and remediation approaches clearly to technical and non-technical team members.

• Lead the technical design, construction, and evolution of the data architecture, ensuring it is scalable, resilient, and efficient • Design and implement complex data pipelines (ETL/ELT) to integrate diverse sources into our ecosystem • Establish technical governance by defining modeling standards, taxonomy, and ensuring data quality and consistency across the data lifecycle • Serve as a high-level technical bridge between Software Engineering, Product, BI, and AI • Ensure performance with large data volumes by optimizing queries and storage in Data Warehouse/Data Lake • Implement engineering best practices (CI/CD, data testing, version control) across the data stack • Define security and compliance guidelines (LGPD) for processing and storage layers • Act as a technical mentor, raising the team's knowledge bar and fostering a culture of engineering excellence

Requisition Number: 103511 Principal Software Engineer - Data Location: You will have the flexibility to work fully remote from anywhere across the US. Insight at a Glance - 14,000+ engaged teammates globally - Received 35+ industry and partner awards in the past year Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions. About the role We are seeking a Principal Data Engineer to serve as a senior technical leader within our Data & AI Business Unit. This role represents the highest level of individual contributor for data engineering and is a natural progression toward Solutions or Data Architecture roles. As a Principal Data Engineer, you will lead the design and implementation of complex data pipelines and platforms, influence architectural decisions, establish engineering standards, and mentor other engineers—while remaining deeply hands on. Responsibilities - Design, build, and optimize scalable, reliable data pipelines and platforms - Lead technical implementation across ingestion, transformation, and data serving layers - Translate architectural direction into production ready engineering solutions - Influence and contribute to data platform and solution architecture decisions - Establish and enforce engineering standards, patterns, and best practices - Serve as a technical mentor and escalation point for senior and mid level engineers - Partner closely with architects, analytics, BI, and AI teams to deliver end to end solutions - Own performance tuning, reliability, and operational excellence of data systems - Review designs and code to ensure quality, scalability, and maintainability - Stay current on modern data engineering tools, frameworks, and architectural trends Travel & Work Environment - Hybrid or remote work environment (US based) - Occasional travel to support planning, delivery, or team collaboration - Fast paced, collaborative engineering culture focused on quality and scale What we’re looking for - 8+ years of experience in data engineering or data platform development - Experience operating as a Senior or Principal level engineer on complex data initiatives - Strong expertise in data pipeline development (batch and/or streaming) - Deep hands-on experience with cloud data platforms (Azure, AWS, or GCP) - Advanced SQL skills and solid experience with data modeling practices - Strong programming experience in Python, SQL, and/or Spark - Proven ability to influence technical direction without direct authority - Experience working in collaborative, cross functional environments - Ability to clearly communicate tradeoffs, risks, and implementation details Certifications - Cloud or data platform certifications preferred (Azure, AWS, GCP, Databricks, Snowflake, Fabric, etc.) What you can expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: - Freedom to work from another location, even an international destination, for up to 30 consecutive calendar days per year. - Comprehensive benefits package including medical, dental, vision, and company 401k match. But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambITious journey starts here. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Compensation Range - Base Salary: $130,000 – $145,000, based on experience The position described above provides a summary of some the job duties required and what it would be like to work at Insight. For a comprehensive list of physical demands and work environment for this position, click here. Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. Posting Notes: Chandler, AZ || Arizona (US-AZ) || United States (US) || IT Infrastructure & Support || None || US - Chandler,AZ ||