Associate Data Solutions Engineer

The primary purpose of this role is to work as part of a multidisciplinary Agile team to create and maintain mission-critical data management, financial and analytics systems. This involves providing strong foundational technical skills and engaging directly in backlog management, release planning, analysis, modeling, design, implementation, delivery, and support activities. The Associate Data Solutions Engineer contributes to solution delivery by acting both collaboratively and strategically. This includes engaging directly with stakeholders to understand, elaborate, and prioritize objectives within roadmap and blueprint frameworks to deliver effective, risk-managed solution releases.

We are considering candidates to work onsite at our West Chester, PA office, or possibly in our Des Moines, IA location. We are currently working in a hybrid model - in the office three days/week (Tues, Wed, Thurs) with the option to work remotely the remaining two weekdays.

This position is not eligible for sponsorship.  Applicants must be authorized to work in the U.S. without current and/or future sponsorship.

• Align technical approaches with architectural blueprints and follow approved firm practices. 

• Collaborate with business and technical partners to define new features and system capabilities. 

• Participate in regular design reviews, code reviews, and practice reviews. 

• Contribute to the documentation of team patterns, standards, and technical approaches. 

• Implement appropriate SCM, CI, CD, automated testing, and other DevSecOps practices. 

• Participate in ongoing DevSecOps activities. 

• Liaise with internal product teams, functional teams, and SRE teams to coordinate work. 

• Provide team L2+ support for team products and systems. 

• Define, design, implement, validate, and support solution elements alongside teammates. 

• Assist the manager with ongoing operational and practice improvements. 

KNOWLEDGE, SKILLS, & ABILITIES

Technical: 

• Bachelor’s degree in IT or related field preferred. 
• 1+ years of professional experience designing, building, delivering, and supporting data-intensive distributed systems and/or data management systems. 
• 1+ years of professional experience developing enterprise-class SOA/micro-service systems and/or enterprise-class data management systems with streaming data feeds. 
• 1+ years of professional experience developing solutions with any three (or more) of the following AWS mechanisms (or non-AWS equivalents): S3, Lambda, EFS, SNS, SQS, EventBridge, Kinesis, Aurora, DynamoDB, RDS Proxy, Glue, Athena, Redshift/Spectrum. 
• Proficiency in at least one of the following (and familiarity or better with the other) is required:  
• Common enterprise data engineering patterns and their pertinence in various solution contexts (e.g., Relational vs Dimensional Data Marts, Data Warehousing, Schema-on-Read vs Schema-on-Write, HSM, Data Replication and Movement, micro-batch processing, etc.). 
• Common enterprise distributed systems patterns and their pertinence in various solution contexts (e.g., SOA/micro-services, CQRS, event-stream processing, pub/sub messaging, message queues, data fabrics, etc.). 
• Familiarity with AWS or Azure “Cloud Native” solutions concepts (aka Serverless Computing) is required, practical experience highly preferred. 
• Familiarity with BI & Data Visualization tools (e.g., PowerBI, Tableau, or Qlik) and the attendant underlying data structures is required, practical experience preferred. 
• Practical experience with at least one large-scale distributed data store is preferred (e.g., Cassandra, Greenplum, PostgreSQL, RedShift); AWS RedShift preferred. 
• Practical experience with at least one MOM platform is required (e.g., MQ, RV, JMS, MSMQ, Solace, ZeroMQ, Kafka, etc.). 
• Practical experience with at least one messaging serialization mechanism is required (e.g., Protobufs, Thrift, Avro, JSON, etc.). 
• Proficiency with two or more of the following languages is required: C#, Python, PowerShell, SQL, JavaScript. 
• Proficiency with Git is required; experience with GitHub enterprise preferred. 
• Proficiency with ETL and ELT concepts and related tooling, and building home-grown solutions, is required. 
• Understanding of OOA/OOD, and applicability to system as well as element design, is required. 
• Proficiency with conceptual, logical, and system modeling notations and tooli