Data Warehouse Engineer

🔥 1 hour ago

🏄 California – Remote

🏄 California – Remote

💵 $140k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Maverick Payments

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

💳 Fintech

Consulting • Logistics • Fintech

Maverick Payments is a full-service payment processor offering technology-driven payment solutions. Specializing in both online and in-person payment processing, Maverick Payments features advanced tools such as a comprehensive dashboard, fraud prevention capabilities, analytics, and reporting. The company provides white-labeled payment solutions and enables businesses to process transactions through their API, virtual terminal, and other integrated services. With a focus on emerging markets and offering advanced features like ACH and card-not-present transactions, Maverick Payments aids businesses of all sizes in managing chargebacks, expanding their reach, and optimizing payment acceptance and management. The company operates as a division of Maverick BankCard, Inc. and partners with several banks for streamlined operations.

📋 Description

• The Data Warehouse Engineer is a hands-on role responsible for the end-to-end process of designing, building, and operating Maverick’s Azure data platform. • Reporting to the Data Team Director, you will partner with external implementation resources in Phase 1 and then own daily operations, reliability, and continuous improvement of the platform. • The role balances operational excellence (pipeline uptime, SLAs, observability) with platform development (new data pipelines, sponsor bank integrations, performance/cost optimization). • Your work enables the Maverick organization to access reliable, timely, and governed data for analytics, BI, and regulatory reporting. • Monitor health and SLAs via Azure Monitor/Log Analytics, Synapse and Data Factory dashboards; respond to critical pipeline incidents within 2 hours. • Triage and resolve data integration failures (sponsor bank files, CRM/ITSM connectors, API ingestions), distinguishing data quality vs. pipeline vs. infrastructure issues; escalate when needed. • Perform root-cause analysis (RCA) and drive corrective actions; maintain and conduct post-mortems. • Support users with ad‑hoc SQL, Power BI connectivity, refresh scheduling, and semantic model best practices. • Track pipeline performance and data freshness, optimize query runtimes, memory, and SLA compliance. • Design and build Azure Data Factory pipelines (ETL/ELT) for batch and incremental ingestion using parameterized, reusable templates. • Write and optimize T‑SQL in Synapse SQL pools for reliability and maintainability. • Implement incremental loads, CDC (Change Data Capture), idempotent retries, and robust error handling. • Onboard new sponsor banks and data sources against the Director’s roadmap; standardize patterns for file-based (CSV/JSON/Parquet/Delta) and API-based data. • Strengthen data quality and observability with validation checks, reconciliations, and anomaly detection. • Collaborate with vendors during Phase 1; participate in code reviews, document architecture decisions (ADRs) and platform standards. • Create and maintain runbooks (“respond to X failure”), troubleshooting guides, and common query patterns. • Document pipeline architecture, data lineage, schemas, and transformation logic for knowledge transfer. • Maintain a data dictionary/metadata (descriptions, refresh cadence, PII tags, sensitivity labels).

🎯 Requirements

• 5-8 years in Data Engineering/Data Warehousing or closely related technical roles. • Advanced SQL/T-SQL: complex queries, stored procedures, views, indexing, and performance tuning. • Hands-on Azure: Data Factory, Synapse SQL, Data Lake Gen2, Key Vault (or strong equivalents: Snowflake, BigQuery, Redshift). • Proven delivery of ETL/ELT for file-based (CSV/JSON/Parquet) and API data sources. • Strong data modeling: star/snowflake, dimensional modeling, fact/dimension tables, SCDs (Type 1/2). • Git proficiency and CI/CD concepts for infra/pipeline deployment (Azure DevOps/GitHub Actions; ARM/Bicep/Terraform a plus). • Demonstrated troubleshooting and RCA across complex systems; able to drive solutions independently. • Experience supporting BI/analytics consumers (Power BI preferred; semantic models, incremental refresh, gateway basics).

🏖️ Benefits

• Competitive Salary, Bonuses and Incentives. • Comprehensive employer sponsored health, vision, and dental insurance programs. • Paid time off, Paid Sick and Paid Holidays. • 401K plan with up to a 3% matching contribution. • Commitment to Career Development and Advancement. • Vibrant Office Culture, Team Building, Birthdays, Work Anniversaries, Snacks, and more!