Associate Data Engineer

* ** Data Pipeline Development & Maintenance:
** Assist in the design, development, testing, and maintenance of scalable
** ELT/ETL data pipelines
** using
** Python
* * and cloud-native services (Azure preferred) to integrate data from various internal and external systems (e.g., custodial feeds, Salesforce, APIs).
* ** Data Quality & Governance:
** Implement and optimize data validation and cleansing routines within the pipelines to ensure data accuracy and integrity, directly supporting our commitment to
** fiduciary standards
** in wealth management.
* ** Data Modeling & Warehousing:
** Collaborate with senior engineers and data architects on data modeling projects, helping to design and maintain schemas for our modern data platform (e.g.,
** Snowflake, Databricks, or Cosmos DB**).
* ** Code & Automation:
** Write clean, efficient, and well-documented code primarily in
** Python
* * for scripting, automation, and data transformation logic.
* ** Troubleshooting & Support:
** Participate in the monitoring and troubleshooting of data pipeline issues, working to identify root causes and implement timely resolutions.
* ** Documentation:
** Maintain accurate technical documentation for data flows, schemas, and processing logic to ensure team knowledge transfer and governance.
* ** SQL Mastery:
** Strong foundation in
** SQL
* * and deep understanding of relational database concepts (e.g., joins, schemas, indexing).
* ** Data Fundamentals:
** Basic understanding of
** data modeling
** principles (Star Schema, Normal Forms, etc.) and core
** ETL/ELT
** processes.
* ** Communication:
** Excellent written and oral communication skills, with the ability to articulate technical issues clearly.
* Exposure to
** cloud platforms (Azure
** preferred, AWS, or GCP) and cloud-native data services.
* Familiarity with distributed data processing frameworks like
** Apache Spark
** or
** Databricks**.
* Experience with workflow orchestration tools (e.g.,
** Apache Airflow, Azure Data Factory**).
* Knowledge of financial services, brokerage, or wealth management data domains (e.g., understanding of positions, securities master, and custodial data).
* Experience consuming and building
** RESTful APIs
** to move data.
** Programming Proficiency:
** Demonstrated proficiency and hands-on experience with
** Python
* * for data manipulation and scripting.
* *
* Experience:

** 0 to 3 years of professional or relevant internship/project experience in a data-focused role (e.g., Data Engineering, Software Engineering, or Data Analytics).
* *
* Education:

** Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a closely related quantitative field.
* Flex Time or Paid Time Off and Sick Time Off
* 401K – 6% Employer Match
* Medical, Dental, Vision – HDHP or PPO
* HSA – Employer contribution (HDHP only)
* Volunteer Time Off
* Career Development / Recognition
* Fitness Reimbursement
* Hybrid Work Schedule Asset Mark  is a fast-growing financial technology company changing the game for advisors and their clients. If you are searching for a challenging, rewarding, and evolving career, you have come to the right place.  We offer competitive salaries, full benefits, and excellent opportunities for growth.
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