Mid-Senior level
Posted March 26, 2026
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Responsibilities
Commitments
Responsibilities
- Collaborate with analysts and business stakeholders to translate business requirements into technical solutions
- Design, build, and maintain data pipelines and ETL processes
- Develop and optimize SQL queries and database structures
- Monitor data pipeline performance and resolve data issues to ensure accuracy and reliability
- Create datasets and data models to support reporting, forecasting, and operational analytics
- Demonstrate experience with SQL, Python, and VBA
- Experience of using data quality controls and validation processes to ensure data integrity Qualifications
Commitments
Experience in Quantitative analysis is a plus The Data Engineer role is Hybrid 1-2 days per week in Dallas, with a base salary circa $90,000 Please note, we do not have the capacity to provide sponsorship at this time and you MUST currently reside within the DFW area to be considered.
Any applications not meeting this criteria will be ignored.
Not Met Priorities
What still needs stronger evidence
Requirements
- A background in Financial Services is key, as I am looking for someone with an understanding of this type of data.
- Create datasets and data models to support reporting, forecasting, and operational analytics
- Demonstrate experience with SQL, Python, and VBA
- Experience of using data quality controls and validation processes to ensure data integrity Qualifications
- 3+ years of relevant experience, preferably in financial services
- Strong proficiency in SQL and relational database design
- Experience with Python and VBA
- Familiarity with data visualization tools
Preferred Skills
- A background in Financial Services is key, as I am looking for someone with an understanding of this type of data.
- 3+ years of relevant experience, preferably in financial services
- Experience with Python and VBA
- Familiarity with data visualization tools
Data Engineer $90,000 Dallas - Hybrid ShortList Recruitment has an exciting opportunity for a Data Engineer to be a key part of a growing Financial Services organization. The Data Engineer role will play a pivotal role in managing complex financial modelling and reporting data, working alongside a talented team of Data Analysts to deliver cutting-edge financial reports. A background in Financial Services is key, as I am looking for someone with an understanding of this type of data. Key Responsibilities for the Data Engineer
Collaborate with analysts and business stakeholders to translate business requirements into technical solutions
Design, build, and maintain data pipelines and ETL processes
Develop and optimize SQL queries and database structures
Monitor data pipeline performance and resolve data issues to ensure accuracy and reliability
Create datasets and data models to support reporting, forecasting, and operational analytics
Demonstrate experience with SQL, Python, and VBA
Experience of using data quality controls and validation processes to ensure data integrity Qualifications
3+ years of relevant experience, preferably in financial services
Strong proficiency in SQL and relational database design
Experience with Python and VBA
Familiarity with data visualization tools
Experience in Quantitative analysis is a plus The Data Engineer role is Hybrid 1-2 days per week in Dallas, with a base salary circa $90,000 Please note, we do not have the capacity to provide sponsorship at this time and you MUST currently reside within the DFW area to be considered. Any applications not meeting this criteria will be ignored. If you are interested in the Data Engineer position, then please click APPLY NOW!
Collaborate with analysts and business stakeholders to translate business requirements into technical solutions
Design, build, and maintain data pipelines and ETL processes
Develop and optimize SQL queries and database structures
Monitor data pipeline performance and resolve data issues to ensure accuracy and reliability
Create datasets and data models to support reporting, forecasting, and operational analytics
Demonstrate experience with SQL, Python, and VBA
Experience of using data quality controls and validation processes to ensure data integrity Qualifications
3+ years of relevant experience, preferably in financial services
Strong proficiency in SQL and relational database design
Experience with Python and VBA
Familiarity with data visualization tools
Experience in Quantitative analysis is a plus The Data Engineer role is Hybrid 1-2 days per week in Dallas, with a base salary circa $90,000 Please note, we do not have the capacity to provide sponsorship at this time and you MUST currently reside within the DFW area to be considered. Any applications not meeting this criteria will be ignored. If you are interested in the Data Engineer position, then please click APPLY NOW!