Recrudo Labs is seeking a Senior Analytics/Data Engineer in San Diego, CA, to build scalable data pipelines and deliver actionable insights. This full-time, on-site role requires expertise in SQL, Python, and Google BigQuery.
• On-Site Role in San Diego, CA (5 Days work from office, No Hybrid/ Remote) • No Visa Sponsorship • Full-Time Role Overview we’re looking for strategic and experienced Senior Analytics/Data Engineer to join our growing team. This role is perfect for a data-driven problem solver who thrives on building scalable pipelines, delivering actionable insights, and leading initiatives that shape how data empowers both our internal operations and client-facing solutions. We believe data is more than numbers - it’s the story that drives smarter decisions and meaningful connections. Come help us tell that story. What You’ll Be Doing • Build & Optimize – Design, develop, and manage advanced data pipelines, reports, and visualizations for internal and client use. • Translate Needs into Insights – Partner with stakeholders to understand data requirements and deliver actionable, efficient solutions. • Lead Projects – Drive analytics initiatives with minimal supervision, ensuring quality, timeliness, and impact. • Champion Data Governance – Develop and uphold data standards, policies, and best practices across the organization. • Mentor & Collaborate – Guide junior team members and foster a high-performing, collaborative environment. • Innovate & Communicate – Identify process improvements, stay current on industry trends, and clearly present complex concepts to all audiences. What We’re Looking For • Education & Experience – Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience) with 5+ years in analytics/data engineering. • Technical Mastery – Expert in SQL and Python (or similar languages) for building scalable, efficient data solutions. • dbt + BigQuery Expertise – Proven experience using dbt for transformations and deploying solutions on Google BigQuery (plus exposure to AWS or Azure). • Data Engineering Skills – Strong knowledge of data modeling, warehousing concepts, and ETL/ELT pipelines. • Modern Development Practices – Familiar with Git, version control, and Agile methodologies. • Leadership & Communication – Excellent at mentoring, presenting insights, and explaining complex concepts to technical and non-technical audiences. Benefits & Perks Our people are our #1 priority. Our benefits include: • Multiple medical plan options through Anthem Blue Cross • Dental & vision insurance (including orthodontia and annual exams) • Pet benefit program with savings on vet care, products, and services • Paid vacation (accruing up to 120+ hours/year with rollover and cap) • Paid holidays annually • Coverage for spouses/domestic partners and dependents under 26 • Benefits begin on the first of the month after your hire date Job Type: Full-time Pay: $120,000.00 - $140,000.00 per year Benefits: • Dental insurance • Vision insurance Experience: • Data Engineering: 5 years (Required) • Google Cloud Platform, specifically BigQuery: 3 years (Required) • SQL: 5 years (Required) • Data Build tool (DBT): 2 years (Required) Work Location: On the road
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Recrudo Labs is seeking a Senior Analytics/Data Engineer in San Diego, CA, to build scalable data pipelines and deliver actionable insights. This full-time, on-site role requires expertise in SQL, Python, and Google BigQuery.
Ippon Technologies is seeking a Head of Data Engineering & Analytics Consulting to lead their growing practice focused on cloud-native solutions, particularly Snowflake. The role involves managing a team, driving practice growth, and providing technical leadership.
Recrudo Labs is seeking a Senior Analytics/Data Engineer in San Diego, CA, to build scalable data pipelines and deliver actionable insights. This full-time, on-site role requires expertise in SQL, Python, and Google BigQuery.