Data Analyst II
Pay: $33 hour
Contract: Until Dec 31, 2026

Employment Type: Freelance
We are seeking a detail-oriented Data Analyst to support data onboarding, pipeline maintenance, and dependable downstream data delivery. This role focuses on transforming, validating, and troubleshooting incoming data feeds while ensuring accurate integration into standardized systems.
Responsibilities
Build, maintain, monitor, and troubleshoot ETL and data pipelines supporting onboarding and integrations.
Analyze incoming data feeds in JSON, XML, CSV, TXT, and similar formats; transform them into standardized schemas.
Develop and maintain SQL-based transformations; Spark SQL experience is preferred.
Create, document, and update data-mapping logic, transformation rules, and validation requirements.
Validate data quality, completeness, consistency, and accuracy throughout ingestion workflows.
Investigate data issues, perform root-cause analysis, and implement durable remediation solutions.
Partner with cross-functional stakeholders to onboard new data sources and deliver integration solutions.
Manage multiple concurrent implementation efforts while meeting established delivery timelines.
Maintain documentation for transformation logic, mapping specifications, operational processes, and issue resolution.
Identify opportunities to automate manual processes and improve pipeline reliability, scalability, and observability.
Required Qualifications
2+ years of experience in data engineering, data analysis, ETL development, or data integration.
Strong SQL skills; experience with Databricks or Spark SQL is preferred.
Hands-on experience building, supporting, or maintaining ETL and data pipelines.
Experience working with structured and semi-structured data formats, including JSON, XML, and CSV.
Strong understanding of data transformation, schema mapping, validation, and reconciliation processes.
Experience troubleshooting production data pipelines and resolving data-quality issues.
Ability to interpret technical documentation, data specifications, and integration requirements.
Strong analytical, problem-solving, and communication skills.
Ability to organize priorities and manage multiple projects simultaneously.
Preferred Qualifications
Experience with Databricks, Apache Spark, or similar cloud-based data platforms.
Experience integrating third-party data feeds or external partner data sources.
Experience with flat-file integrations and file-based data exchange processes.
Familiarity with data-quality monitoring, pipeline observability, or workflow automation tools.

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