

Soho Square Solutions
ETL Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an ETL Developer in Mclean, VA, offering a contract position with a pay rate of "unknown." Candidates must be US Citizens or Permanent Residents, with 5+ years of data analysis experience, particularly in multifamily real estate or mortgage industries. Key skills include SQL, RDBMS, MongoDB, NoSQL, and Informatica Cloud.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
October 28, 2025
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
McLean, VA
-
π§ - Skills detailed
#BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Data Analysis #Cloud #SQL Server #SQL (Structured Query Language) #Data Governance #Data Profiling #Compliance #Monitoring #PostgreSQL #Data Integration #Informatica PowerCenter #GCP (Google Cloud Platform) #Informatica IDQ (Informatica Data Quality) #RDBMS (Relational Database Management System) #Datasets #Data Pipeline #SQL Queries #Azure #MySQL #MongoDB #Data Extraction #Visualization #Informatica Cloud #Statistics #Tableau #Informatica #Computer Science #Project Management #Data Science #R #Microsoft Power BI #Data Quality #Big Data #Data Modeling #Python #AWS (Amazon Web Services) #Databases #NoSQL
Role description
Title : ETL Developer/Informatica Developer
Location : Mclean, VA (Onsite position)
Contract
Note : Only USC and GC can apply for this position.
Job Description -
Developer-ETL/Informatica Senior All candidates must be either a US Citizen or hold a Permanent Resident Card as well as be a direct W-2 employee to our vendors. Experience with Informatica PowerCenter (v 8.x and higher)
Job Description
We are seeking an experienced Senior Data Analyst with a strong background in the multifamily real estate business and mortgage domain. The ideal candidate will possess advanced technical skills in SQL, RDBMS databases, MongoDB, NoSQL, Informatica Cloud (including Informatica Data Quality), and all standard data analyst tools and methodologies. You will play a key role in analyzing complex datasets, monitoring and improving data quality, generating actionable insights, and supporting strategic decision-making for our multifamily and mortgage business units.
Responsibilities
Analyze large, complex datasets related to multifamily properties and mortgage portfolios to identify trends, risks, and opportunities.
Develop, maintain, and optimize SQL queries and scripts for data extraction, transformation, and reporting.
Design and implement data models and pipelines using RDBMS (e.g., MySQL, PostgreSQL, SQL Server), MongoDB, and other NoSQL databases.
Utilize Informatica Cloud, including Informatica Data Quality (IDQ), for data integration, profiling, and data quality monitoring across business datasets.
Define and implement data quality rules, scorecards, and dashboards using IDQ to ensure accuracy, consistency, and reliability of data.
Collaborate with business stakeholders to define requirements and deliver high-impact analytics solutions.
Create dashboards, reports, and visualizations to communicate findings to technical and non-technical audiences.
Ensure data quality, integrity, and consistency across multiple sources and platforms.
Support data governance initiatives and contribute to the development of best practices and standards.
Mentor junior analysts and provide technical guidance as needed.
Required Skills & Qualifications
Bachelorβs or Masterβs degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Finance, Economics).
5+ years of experience as a Data Analyst, with at least 2 years in the multifamily real estate or mortgage industry.
Deep understanding of multifamily business operations, property management, and mortgage processes.
Advanced proficiency in SQL and experience working with RDBMS databases (MySQL, PostgreSQL, SQL Server, etc.).
Hands-on experience with MongoDB and other NoSQL databases.
Proven experience with Informatica Cloud, including strong knowledge of Informatica Data Quality (IDQ) for data profiling, cleansing, and monitoring.
Strong analytical and problem-solving skills, with expertise in statistical analysis and data modeling.
Proficiency in data visualization tools (e.g., Tableau, Power BI).
Experience with ETL processes, data warehousing, and data pipeline development.
Excellent communication skills, with the ability to translate complex data findings into actionable business insights.
Ability to work independently and as part of a cross-functional team.
Preferred Skills
Experience with Python or R for data analysis.
Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies.
Knowledge of regulatory requirements and compliance in the mortgage industry.
Project management experience.
Thanks & Regards
Hendry Xavier
Sr Technical Recruiter
Contact Info: +1 332-910-7353
Email ID: hxavier@sohosqs.com
106 W 32 Street #108 New York, NY 10001, USA
1 University Ave, Toronto, ON M5J 2P1, Canada
Title : ETL Developer/Informatica Developer
Location : Mclean, VA (Onsite position)
Contract
Note : Only USC and GC can apply for this position.
Job Description -
Developer-ETL/Informatica Senior All candidates must be either a US Citizen or hold a Permanent Resident Card as well as be a direct W-2 employee to our vendors. Experience with Informatica PowerCenter (v 8.x and higher)
Job Description
We are seeking an experienced Senior Data Analyst with a strong background in the multifamily real estate business and mortgage domain. The ideal candidate will possess advanced technical skills in SQL, RDBMS databases, MongoDB, NoSQL, Informatica Cloud (including Informatica Data Quality), and all standard data analyst tools and methodologies. You will play a key role in analyzing complex datasets, monitoring and improving data quality, generating actionable insights, and supporting strategic decision-making for our multifamily and mortgage business units.
Responsibilities
Analyze large, complex datasets related to multifamily properties and mortgage portfolios to identify trends, risks, and opportunities.
Develop, maintain, and optimize SQL queries and scripts for data extraction, transformation, and reporting.
Design and implement data models and pipelines using RDBMS (e.g., MySQL, PostgreSQL, SQL Server), MongoDB, and other NoSQL databases.
Utilize Informatica Cloud, including Informatica Data Quality (IDQ), for data integration, profiling, and data quality monitoring across business datasets.
Define and implement data quality rules, scorecards, and dashboards using IDQ to ensure accuracy, consistency, and reliability of data.
Collaborate with business stakeholders to define requirements and deliver high-impact analytics solutions.
Create dashboards, reports, and visualizations to communicate findings to technical and non-technical audiences.
Ensure data quality, integrity, and consistency across multiple sources and platforms.
Support data governance initiatives and contribute to the development of best practices and standards.
Mentor junior analysts and provide technical guidance as needed.
Required Skills & Qualifications
Bachelorβs or Masterβs degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Finance, Economics).
5+ years of experience as a Data Analyst, with at least 2 years in the multifamily real estate or mortgage industry.
Deep understanding of multifamily business operations, property management, and mortgage processes.
Advanced proficiency in SQL and experience working with RDBMS databases (MySQL, PostgreSQL, SQL Server, etc.).
Hands-on experience with MongoDB and other NoSQL databases.
Proven experience with Informatica Cloud, including strong knowledge of Informatica Data Quality (IDQ) for data profiling, cleansing, and monitoring.
Strong analytical and problem-solving skills, with expertise in statistical analysis and data modeling.
Proficiency in data visualization tools (e.g., Tableau, Power BI).
Experience with ETL processes, data warehousing, and data pipeline development.
Excellent communication skills, with the ability to translate complex data findings into actionable business insights.
Ability to work independently and as part of a cross-functional team.
Preferred Skills
Experience with Python or R for data analysis.
Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies.
Knowledge of regulatory requirements and compliance in the mortgage industry.
Project management experience.
Thanks & Regards
Hendry Xavier
Sr Technical Recruiter
Contact Info: +1 332-910-7353
Email ID: hxavier@sohosqs.com
106 W 32 Street #108 New York, NY 10001, USA
1 University Ave, Toronto, ON M5J 2P1, Canada






