Senior Data Engineer – Data Platform

This is a fully remote position, open to applicants in Arizona, +2 more states.

📋 Description

• Create and execute scalable, efficient data architectures.

• Lead the development of a data strategy that aligns with business goals.

• Assess and incorporate new technologies to improve data capabilities.

• Design and implement intricate real-time and batch data pipelines.

• Enhance data flows for environments with high volume and velocity.

• Develop sophisticated ETL processes to handle diverse data sources.

• Establish and uphold data governance policies and best practices.

• Implement frameworks and monitoring systems for data quality.

• Ensure adherence to data regulations and compliance standards.

• Analyze and enhance system performance for large-scale data operations.

• Resolve complex data issues and apply effective solutions.

• Mentor junior data engineers and offer technical assistance.

• Contribute to the establishment of best practices and standards.

• Work collaboratively with cross-functional teams to promote data literacy.

• Partner with engineers, product teams, and business stakeholders to provide cloud-based data solutions that support essential business initiatives.

⛳️ Requirements

• Bachelor's Degree and 4 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or similar technology fields, OR a High School Diploma or GED with 8 years of experience in those areas.

• Extensive experience with cloud platforms such as AWS, Azure, or GCP.

• Advanced knowledge of modern data warehousing and large-scale data processing technologies like Snowflake and Spark.

• Proficient in Python and SQL at an advanced level.

• Significant experience in developing and supporting ETL/ELT processes, data pipelines, and data integration solutions using tools like dbt, Apache Airflow, Astronomer, or equivalent technologies.

• Familiarity with data modeling, data warehousing, and best practices in data engineering.

• Experience in designing, developing, and maintaining scalable and reliable data engineering solutions in enterprise settings.

• Proven ability to collaborate with business and technology stakeholders to deliver data-driven solutions.

• Strong analytical, problem-solving, and communication skills.

• Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or similar technologies.

• Intermediate experience in developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.

• Intermediate experience with Change Data Capture (CDC), streaming, and real-time data ingestion technologies like Kafka, Amazon Kinesis, Apache Flink, Qlik Replicate, or Snowpipe Streaming.

• Intermediate experience in integrating data across cloud and on-premises environments.

• Experience with Data Vault modeling and contemporary data warehousing methodologies.

• Intermediate understanding of data governance, security, compliance, and data quality management practices.

• Experience working in Financial Services, Banking, or other highly regulated sectors.

• Familiarity with analytics and visualization platforms such as Tableau or Power BI.

• Experience utilizing AI-powered development and productivity tools.

• Additional qualifications such as AWS Certified Data Engineer – Associate, AWS Certified Developer – Associate, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent certifications are a plus.

🏝️ Benefits

• Competitive, thoughtfully designed, and high-quality benefits program.

• Benefits information available at https://jobs.firstcitizens.com/benefits.