Senior Data Engineer

Job not on LinkedIn

🔥 9 minutes ago

🇺🇸 United States – Remote

💵 $99.9k - $157k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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ARC-One Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🏥 Healthcare

🏭 Manufacturing

📦 Logistics

Healthcare • Manufacturing • Logistics

ARC-One Solutions is creating a next-generation Blood Establishment Computer Software (BECS) platform designed to support safe, efficient, and compliant regulated blood supply chain management. Formed through a partnership between two of the largest blood centers in the country, ARC-One Solutions plays a crucial role in fulfilling over 50% of the nation’s blood supply needs. With a focus on quality and compliance, their software provides robust solutions for blood collection, manufacturing, and distribution management, ultimately contributing to saving lives.

📋 Description

• Design, implement, and maintain scalable data pipelines on AWS using S3, DMS, Glue, Lambda, Step Functions/MWAA, and Redshift • Develop batch and near-real-time ETL/ELT workflows to ingest, cleanse, transform, and load data from databases, legacy applications, and event streams using Python and PySpark • Design incremental/CDC mechanisms with restartability, idempotency, duplicate handling, and recovery • Implement automated controls for completeness, accuracy, reconciliation, schema changes, and lineage • Optimize Glue/Spark, Athena, Redshift, and S3 workloads through partitioning, columnar formats, query tuning, and suitable storage/compute design • Design near-real-time and event-driven pipelines using Kinesis/Kafka, including ordering, retries, idempotency, and failure recovery • Implement AWS data security, least-privilege access, data classification, and governance controls • Monitor pipelines with CloudWatch, troubleshoot failures, and resolve production data incidents • Enforce Git/version control, code review, automated testing, and CI/CD practices • Work with product owners, architects, reporting teams, and business stakeholders to translate requirements into scalable data solutions • Document pipelines and operational procedures

🎯 Requirements

• Bachelor's degree in a computer-related field from an accredited college or university • Five (5) or more years of experience in data engineering, building scalable and distributed ETL data pipelines in enterprise environments • Experience building and operating scalable AWS-based data platforms and pipelines using Lambda, Glue, Athena, S3, Redshift, DMS, MWAA (Airflow), and Step Functions • Experience supporting batch, CDC, and near real-time data processing • Advanced proficiency in Python, SQL, and PySpark • Hands-on experience developing reusable ETL/ELT frameworks, data warehouses, data marts, and integrations across databases, APIs, event streams, and analytics environments • Experience implementing data quality, governance, and optimization best practices • Experience with automated validation frameworks, Lake Formation and Glue Data Catalog, performance tuning, and cost optimization across AWS data services • Strong communication skills with the ability to translate complex data concepts for business stakeholders • Experience in healthcare, life sciences, and other highly regulated environments with HIPAA, GDPR, FDA, or similar compliance requirements preferred • Experience with metadata management, data lineage, data observability, master data management, or enterprise data catalog solutions • Knowledge of data modeling, analytical data models, schema design, schema evolution, and data structures optimized for reporting and analytics • Knowledge of data lake and data warehouse architecture, including data partitioning and columnar storage formats such as Parquet • Relevant AWS certification, such as AWS Certified Data Engineer – Associate, or an equivalent cloud or data engineering certification

🏖️ Benefits

• Flexible work hours in fun collaborative environment • Remote work arrangement • Reliable internet connection required for remote work • Ability to travel as needed for company meetings