Principal, Data Engineer

Das ist der Job

Familiarity with orchestration tools like Apache Airflow is essential.

Darum lohnt es sich

Key Responsibilities Design and implement scalable, high‑performance data solutions using industry best practices and modern technologies, ensuring optimal integration, reliability, scalability, flexibility, and maintainability Translate business requirements and processes into well‑architected technical solutions, aligning with enterprise architecture standards and long‑term technology strategy Define and document solution architecture, technical designs, and requirements to support business objectives while balancing practical implementation and strategic vision Provide technical leadership and guidance to engineering and support teams, ensuring alignment with business and IT strategies Develop and present architecture and design artifacts to both technical and non‑technical stakeholders Proactively identify challenges, assess downstream impacts across business domains, and drive solution design through research, validation, and stakeholder consensus Apply industry and domain best practices, offering architectural guidance and strategic input to business and technology leadership Evaluate the impact of new solutions on existing architecture, ensuring compliance with enterprise standards and governance frameworks Contribute to enterprise‑wide technology initiatives and support critical issue resolution when needed Actively participate in team ceremonies, provide status updates, and support overall project governance and execution Job Qualifications Bachelor’s degree in Computer Science, Engineering, or a related discipline (or equivalent work experience) 7+ years of experience in IT, with strong expertise in data architecture, integrating and analyzing disparate data sources, and driving data quality improvements—preferably within the mortgage, real estate, or insurance domains Deep understanding of data modeling techniques to support technology optimization, data consolidation, and strategic architecture planning Strong knowledge of the full lifecycle of database, data warehouse, and data mart design and development Proven experience in enterprise data architecture, including governance, standards, and strategy development Demonstrated ability to resolve complex enterprise‑wide data architecture challenges Expertise in designing data management solutions aligned with strategic technology roadmaps and emerging industry trends Proficiency with data modeling tools and strong experience across SQL and NoSQL technologies Technical Skills & Experience Hands‑on experience with cloud platforms such as AWS and Google Cloud Platform (GCP) Strong programming skills in Python and PySpark Experience with AI development frameworks and lifecycle methodologies (e.g., BMAD, Spec Kit) Experience with big data and distributed processing technologies such as Hadoop, Spark, and Elasticsearch Working knowledge of modern data platforms, including graph databases (e.g., Neo4j, Google Spanner) Experience with data processing and orchestration tools such as Google Cloud Dataflow, Apache Beam, and Apache Airflow Ability to develop and document detailed technical designs and specifications Leadership & Soft Skills Proven ability to mentor and guide engineering teams on architectural best practices and technical approaches Strong communication skills, with a collaborative mindset and interest in pair programming environments Ability to manage multiple projects and priorities in a fast‑paced environment Excellent organizational, time management, and problem‑solving skills Strong interpersonal and stakeholder management abilities Preferred Qualifications Domain experience in Real Estate, Mortgage, or Insurance industries is highly desirable Annual Pay Range 154,600 - 195,000 USD Benefits Time off: Generous PTO and 11 paid holidays, plus well‑being and volunteer time off Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend Health: Multiple medical plan options with mental health and wellness support offerings Retirement: 401(k) with company match and vesting after one year Financial Perks: $400 annual well‑being stipend and tuition assistance up to $5,250 Extras: Recognition rewards, referral bonuses, exclusive discounts and more Equal Opportunity Employer Cotality is an Equal Opportunity employer committed to attracting and retaining the best‑qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces or any other basis protected by federal, state or local law.

Job Description We are seeking a highly motivated and self-driven Data Engineer with a strong background in building scalable batch and streaming data pipelines. The ideal candidate brings deep expertise in Google Cloud Platform (GCP), with hands‑on experience in Dataflow, BigQuery, Python, and graph databases such as Neo4j and Google Spanner.

Cotality maintains a Drug‑Free Workplace. #J-18808-Ljbffr