

Solomon Page
Sr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer with 5–8 years of experience in finance and analytics. Contract lasts 8+ months, pay rate is $50-65/hr on W2. Key skills include PostgreSQL, ETL development, and data architecture.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
June 12, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Boston, MA
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #PostgreSQL #Data Pipeline #Databases #Scala #Data Modeling #Data Architecture #Quality Assurance #SQL (Structured Query Language) #Data Processing #Cloud #SQL Queries #Datasets #Data Engineering #Strategy #Data Quality
Role description
We are seeking a hands-on Sr. Data Engineer with 5–8 years of experience to support critical data engineering initiatives within a finance and analytics-driven environment. This is a highly execution-focused role requiring a strong backend engineering mindset, deep expertise in PostgreSQL, SQL optimization, ETL development, and data architecture. The ideal candidate will be comfortable working at a detailed technical level, driving outcomes quickly, and maintaining clear communication with stakeholders regarding project status, risks, and deliverables.
• Contract Duration: 8+ Months
• Rate Range: $50-65/hr on W2
• Only W2 Candidates, NO C2C
Responsibilities:
• Design, develop, maintain, and optimize scalable data pipelines and ETL/ELT workflows.
• Refactor existing ETL processes to improve performance, scalability, and reliability.
• Perform extensive data validation, testing, and quality assurance across data platforms.
• Optimize PostgreSQL databases, SQL queries, and table structures for performance and efficiency.
• Work with large-scale datasets utilizing Parquet file formats and modern data engineering best practices.
• Improve data architecture, operational reliability, and system performance.
• Troubleshoot data issues and implement sustainable solutions to improve platform stability.
• Maintain detailed project trackers, task lists, and status updates using Excel-based reporting.
• Manage timelines, identify risks proactively, and communicate progress clearly to stakeholders.
• Collaborate with business, analytics, and engineering teams to support data-driven initiatives.
• Drive execution independently while ensuring alignment across project stakeholders.
Required Qualifications:
• 5–8 years of experience in Data Engineering, Backend Engineering, or related technical roles.
• Strong hands-on experience with PostgreSQL and advanced SQL development.
• Proven experience building, maintaining, and optimizing ETL/ELT pipelines.
• Strong understanding of data engineering patterns, data modeling, and data architecture principles.
• Experience working with Parquet file formats and large-scale data processing.
• Extensive experience with data testing, validation, troubleshooting, and performance tuning.
• Solid finance, investment, or analytics domain knowledge.
• Strong analytical and problem-solving abilities.
• Excellent organizational and communication skills.
• Ability to work independently and manage multiple priorities effectively.
Required Skills:
• PostgreSQL
• SQL
• ETL/ELT Development
• Data Testing & Validation
• Performance Optimization
• Parquet
• Data Architecture
• Data Modeling
• Analytics
• Backend Engineering
Technical Skills:
• PostgreSQL Database Development
• Advanced SQL Query Optimization
• ETL Pipeline Design & Development
• Data Quality Management
• Data Validation & Testing
• Performance Tuning
• Data Architecture
• Data Modeling
• Parquet Data Processing
• Data Reliability Engineering
Preferred Qualifications:
• Experience within financial services, investment management, capital markets, or analytics environments.
• Experience working in highly data-intensive enterprise platforms.
• Familiarity with cloud-based data platforms and modern data engineering ecosystems.
• Experience supporting operational reporting and stakeholder-facing initiatives.
If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.
Opportunity Awaits.
We are seeking a hands-on Sr. Data Engineer with 5–8 years of experience to support critical data engineering initiatives within a finance and analytics-driven environment. This is a highly execution-focused role requiring a strong backend engineering mindset, deep expertise in PostgreSQL, SQL optimization, ETL development, and data architecture. The ideal candidate will be comfortable working at a detailed technical level, driving outcomes quickly, and maintaining clear communication with stakeholders regarding project status, risks, and deliverables.
• Contract Duration: 8+ Months
• Rate Range: $50-65/hr on W2
• Only W2 Candidates, NO C2C
Responsibilities:
• Design, develop, maintain, and optimize scalable data pipelines and ETL/ELT workflows.
• Refactor existing ETL processes to improve performance, scalability, and reliability.
• Perform extensive data validation, testing, and quality assurance across data platforms.
• Optimize PostgreSQL databases, SQL queries, and table structures for performance and efficiency.
• Work with large-scale datasets utilizing Parquet file formats and modern data engineering best practices.
• Improve data architecture, operational reliability, and system performance.
• Troubleshoot data issues and implement sustainable solutions to improve platform stability.
• Maintain detailed project trackers, task lists, and status updates using Excel-based reporting.
• Manage timelines, identify risks proactively, and communicate progress clearly to stakeholders.
• Collaborate with business, analytics, and engineering teams to support data-driven initiatives.
• Drive execution independently while ensuring alignment across project stakeholders.
Required Qualifications:
• 5–8 years of experience in Data Engineering, Backend Engineering, or related technical roles.
• Strong hands-on experience with PostgreSQL and advanced SQL development.
• Proven experience building, maintaining, and optimizing ETL/ELT pipelines.
• Strong understanding of data engineering patterns, data modeling, and data architecture principles.
• Experience working with Parquet file formats and large-scale data processing.
• Extensive experience with data testing, validation, troubleshooting, and performance tuning.
• Solid finance, investment, or analytics domain knowledge.
• Strong analytical and problem-solving abilities.
• Excellent organizational and communication skills.
• Ability to work independently and manage multiple priorities effectively.
Required Skills:
• PostgreSQL
• SQL
• ETL/ELT Development
• Data Testing & Validation
• Performance Optimization
• Parquet
• Data Architecture
• Data Modeling
• Analytics
• Backend Engineering
Technical Skills:
• PostgreSQL Database Development
• Advanced SQL Query Optimization
• ETL Pipeline Design & Development
• Data Quality Management
• Data Validation & Testing
• Performance Tuning
• Data Architecture
• Data Modeling
• Parquet Data Processing
• Data Reliability Engineering
Preferred Qualifications:
• Experience within financial services, investment management, capital markets, or analytics environments.
• Experience working in highly data-intensive enterprise platforms.
• Familiarity with cloud-based data platforms and modern data engineering ecosystems.
• Experience supporting operational reporting and stakeholder-facing initiatives.
If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.
Opportunity Awaits.





