

Dexian
Data Platform Support Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Platform Support Engineer with a 12-month contract in various U.S. locations. Key skills include Databricks, SQL, AWS, and Python/R. Banking industry experience is essential, along with hands-on technical support capabilities.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
760
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🗓️ - Date
December 11, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Ingestion #Logging #Monitoring #Python #"ETL (Extract #Transform #Load)" #R #Tableau #SQL (Structured Query Language) #Documentation #Collibra #Data Catalog #AWS (Amazon Web Services) #Databricks
Role description
DETAILS:
Domain: Banking
Position: Data Platform Support Engineer
Duration: 12 Months (Possibility of extension or conversion)
Location: Richmond, VA/ Boston, MA/ New York, NY/ Philadelphia, PA/ Cleveland, OH/ Atlanta, GA/ Chicago, IL/ St. Louis, MO/ Minneapolis, MN/ Kansas City, MO/ Dallas, TX (near to these locations)
Description: Essential Responsibilities:
• This is a hands-on role. Applicants should not be managers or architects.
• Provide primary technical support to end user community for problems related to software, data issues, data communication and processing errors.
• Monitor application, production and/or implementation support, both technical and user, for new releases.
• Consult on application testing strategies, document observations and coordinate responses.
• Maintain project and application information including schedule, system scope, requirements, and other pertinent documentation. Make recommendations to management regarding process improvements. Coordinate the information flow between business owners and development staff. Coordinate tasks, functional reviews and application development sessions between the development site and technical work groups ensuring steps are executed timely.
• Document end-user interactions into the automated call logging tools for tracking and productivity purposes.
• Validate proposed technical approaches to system or application problem logs and make recommendations for mediation to management.
HANDS-ON Experience for the following:
(Listed in priority order):
1. Databricks: using data transformation, data ingestion.
1. Starburst- there is lot of SQL, so they need someone who can read, write, tune, and troubleshooting SQL.
1. AWS: Do some monitoring on AWS.
1. Collibra for data catalogue, but this is small support they provide.
1. Understanding of schemas, data models, and transformations
1. Python/R.
1. Tableau is helpful.
DETAILS:
Domain: Banking
Position: Data Platform Support Engineer
Duration: 12 Months (Possibility of extension or conversion)
Location: Richmond, VA/ Boston, MA/ New York, NY/ Philadelphia, PA/ Cleveland, OH/ Atlanta, GA/ Chicago, IL/ St. Louis, MO/ Minneapolis, MN/ Kansas City, MO/ Dallas, TX (near to these locations)
Description: Essential Responsibilities:
• This is a hands-on role. Applicants should not be managers or architects.
• Provide primary technical support to end user community for problems related to software, data issues, data communication and processing errors.
• Monitor application, production and/or implementation support, both technical and user, for new releases.
• Consult on application testing strategies, document observations and coordinate responses.
• Maintain project and application information including schedule, system scope, requirements, and other pertinent documentation. Make recommendations to management regarding process improvements. Coordinate the information flow between business owners and development staff. Coordinate tasks, functional reviews and application development sessions between the development site and technical work groups ensuring steps are executed timely.
• Document end-user interactions into the automated call logging tools for tracking and productivity purposes.
• Validate proposed technical approaches to system or application problem logs and make recommendations for mediation to management.
HANDS-ON Experience for the following:
(Listed in priority order):
1. Databricks: using data transformation, data ingestion.
1. Starburst- there is lot of SQL, so they need someone who can read, write, tune, and troubleshooting SQL.
1. AWS: Do some monitoring on AWS.
1. Collibra for data catalogue, but this is small support they provide.
1. Understanding of schemas, data models, and transformations
1. Python/R.
1. Tableau is helpful.





