Job Specifications
Payrate: $55.00 - $60.00/hr.
Summary:
This role involves designing, developing, and maintaining efficient and reliable data platforms and pipelines. The candidate will collaborate with stakeholders to translate business requirements into technical specifications and ensure data quality, consistency, and reliability.
Responsibilities:
Design, build, and maintain scalable data platforms and pipelines using Python, SQL, Airflow, and Spark.
Collaborate with stakeholders to understand and translate business requirements into technical specifications.
Develop and implement data models that support analytics and reporting needs.
Ensure data accuracy, consistency, and reliability by implementing robust data validation and quality checks.
Work with cross-functional teams, including data analysts, data scientists, and business leaders, to deliver high-quality data solutions.
Continuously monitor and optimize data pipelines for performance, scalability, and cost-efficiency.
Build and implement monitoring and observability metrics to ensure data quality and detect anomalies in data pipelines.
Maintain clear and comprehensive documentation of data processes and communicate technical concepts effectively to non-technical stakeholders.
Qualifications:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
2 years of experience in data engineering and infrastructure.
Proficiency in data warehouse management, Python, SQL, Airflow, and Spark.
Strong experience in building and maintaining robust data pipelines and ETL processes.
Ability to gather business requirements and debug issues for ingestion or other data warehouse areas.
Excellent verbal and written communication skills, with the ability to convey technical information to non-technical audiences.
Proven ability to work effectively in a collaborative, cross-functional environment.
Desired Skills:
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with data warehousing technology (e.g., Deltalake, Azure Fabric, Snowflake, Redshift, BigQuery).
Knowledge of data governance and data security best practices.
Pay Transparency: The typical base pay for this role across the U.S. is: $55.00 - $60.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.
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