Data Integration Engineer

Summary/Function:
The Data Integration Engineer is responsible for designing, developing, supporting, and optimizing enterprise data integration solutions that enable the movement, transformation, and delivery of data across business systems. This role contributes to the development of scalable data pipelines, ETL/ELT processes, API integrations, and data services that support operational, regulatory, and analytical workloads within a financial services environment.

Qualifications:
•    3-5 years of experience in Data Engineering, Data Integration, or ETL development. 
•    Experience working in financial services, banking, wealth management, brokerage, insurance, or other regulated industries preferred. 
•    Experience supporting production data integration environments.
•    Experience with Microsoft cloud-based technologies in a hybrid architecture
•    Experience with cloud services (Microsoft Azure, AWS); MCSE/MCSA certifications preferred.
•    Advanced working TSQL knowledge and experience working with relational databases, query authoring, stored procedure development, end-to-end data pipeline development 
•    Experience with ETL/ELT platforms such as: 
o    SSIS
o    Azure Data Factory
o    Microsoft Fabric Data Pipelines
•    Experience with API and file-based integrations. 
•    Experience with relational database platforms, preferably Microsoft SQL Server. 
•    Experience with scripting languages such as Python, PowerShell, DiamondPlate.
•    Experience with orchestration platforms such as ActiveBatch or equivalent scheduling tools. 
•    Familiarity with Git, CI/CD, DevOps, and DataOps practices. 
•    Understanding of dimensional modeling, data warehousing, and data governance principles.
•    Knowledge of database security, backup and recovery, and performance monitoring standards
•    Familiar with Agile work principles.
•    Satisfactory written and oral communication skills.
•    Understanding of software and database development life cycle concepts.
•    Awareness of information sensitivity regulations and best-practices regarding data security and confidentiality.
•    Specific skills include: 
o    Extensive experience with SQL syntax
o    Experience with Microsoft Fabric: pipelines, notebooks, Lakehouse/Warehouse concepts, and Medalion architecture
o    Experience using orchestration tools such as: ActiveBatch 
o    Experience with web services and API integrations
o    Experience with Agile, DevOps and DataOps methods and technologies: Source Code Control, Versioning, Test Automation, Continuous Integration, Automated Deployment, Recoverability, Telemetry, etc. 
o    Experience working with vendors and 3rd party data integrations.

Job Responsibilities:
Data Integration & Engineering
•    Design, develop, test, deploy, and support ETL/ELT processes and data integration solutions.
•    Build and maintain data pipelines that ingest information from internal applications, vendors, APIs, and third-party financial systems.
•    Develop reusable integration frameworks and patterns to improve scalability and maintainability.
•    Support batch, near real-time, and event-driven data integration architectures.
•    Troubleshoot and resolve data flow, performance, and reliability issues.

Data Quality & Governance
•    Implement controls to ensure data accuracy, completeness, and consistency.
•    Support data lineage, metadata management, and data governance initiatives.
•    Participate in regulatory and audit-related data validation efforts.
•    Assist in developing standards for secure and compliant data movement.

Platform & Operations
•    Monitor production workflows and respond to operational issues.
•    Tune SQL queries, integration jobs, and data pipelines for performance.
•    Participate in release, deployment, and change management processes.
•    Maintain documentation for integration processes, data mappings, and technical designs.

Collaboration
•    Work with business users to gather and interpret data requirements.
•    Partner with data architects and senior engineers on enterprise data initiatives.
•    Support analysts and reporting teams by delivering reliable and well-structured datasets.
•    Participate in Agile planning, code reviews, testing, and continuous improvement activities.

What we offer:
Competitive salary plus excellent benefits and perks including, but not limited to:  
•    Medical, Dental and Vision
•    Company 401(k)and ESOP contribution 
•    Generous sick, vacation, and maternity/parental leave
•    Paid holidays
•    Professional Development Opportunities
•    Tuition Reimbursement ($15,000 lifetime cap)
•    Discounted personal insurance including home, auto and recreational vehicles
•    Charitable gift-matching program
•    Davidson Day of Giving – Our tradition of positively impacting communities in which we live and work.  

The potential base pay hiring range for this role is $73,500 to $105,600 yearly. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate. 

D.A. Davidson has been in business for 90 years! As an employee-owned company, our success is driven by our high standards of business ethics, integrity and the belief that our Associates are our most important assets.  We hope you will consider joining us!