Mondo
Senior Maintenance Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Maintenance Analyst for a 6-month contract-to-hire position in Reading, PA, offering $55-$58 per hour. Requires 3-5 years of data analytics experience, expert SQL skills, Python, PySpark, and AWS knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
464
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🗓️ - Date
June 17, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Green Hill, PA
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🧠 - Skills detailed
#PySpark #Scala #Geospatial Analysis #SQL (Structured Query Language) #Visualization #SQL Server #Python #Forecasting #Data Cleansing #Qlik #Data Quality #AWS (Amazon Web Services) #Tableau #Data Engineering #Data Science #Datasets #Databases #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #Cloud #Data Pipeline #SQL Queries #Oracle
Role description
Apply now: Senior Maintenance Analyst, location is Onsite. The start date is ASAP for this contract-to-hire position.
Job Title: Senior Maintenance Analyst
Location-Type: Onsite (Reading, PA)
Start Date Is: ASAP
Duration: 6-Month Contract-to-Hire
Compensation Range: $55-$58 per hour W2
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship .
Job Description:
Seeking a Senior Maintenance Analyst to support the development of scalable data products, analytics solutions, and reporting capabilities that drive operational decision-making across multiple business functions.
Day-to-Day Responsibilities:
• Develop and maintain scalable, reusable data products for cross-functional business teams
• Build and optimize SQL queries, ETL processes, and data transformation workflows
• Develop analytics solutions using Python and PySpark
• Support data pipeline design, validation, and governance initiatives
• Partner with stakeholders to gather requirements and translate business needs into data solutions
• Collaborate with data science, engineering, and reporting teams to deliver standardized data products
• Evaluate and recommend appropriate technologies based on business requirements, cost, and scalability
• Support data visualization and reporting initiatives
• Ensure data quality, integrity, and governance standards are maintained
• Analyze large-scale datasets and provide actionable business insights
Minimum Requirements:
• 3-5 years of data analytics, data engineering, or related experience
• Expert-level SQL skills including joins, CTEs, window functions, and complex query development
• Experience with ETL processes and data cleansing
• Strong Python development experience
• Experience developing solutions using PySpark
• AWS cloud services experience
• Experience working with large datasets and enterprise-scale data environments
• Strong analytical and problem-solving abilities
• Excellent communication and stakeholder management skills
• Ability to work independently and take ownership of projects
Preferred Qualifications:
• Experience with Tableau, Qlik Sense, or similar visualization tools
• Experience with SQL Server, Oracle, IBM DB2, or related databases
• Power Platform experience
• Exposure to data science, forecasting, or predictive analytics initiatives
• Knowledge of geospatial analysis or ESRI/ArcGIS concepts
• Experience supporting cloud and on-premises data ecosystems
Apply now: Senior Maintenance Analyst, location is Onsite. The start date is ASAP for this contract-to-hire position.
Job Title: Senior Maintenance Analyst
Location-Type: Onsite (Reading, PA)
Start Date Is: ASAP
Duration: 6-Month Contract-to-Hire
Compensation Range: $55-$58 per hour W2
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship .
Job Description:
Seeking a Senior Maintenance Analyst to support the development of scalable data products, analytics solutions, and reporting capabilities that drive operational decision-making across multiple business functions.
Day-to-Day Responsibilities:
• Develop and maintain scalable, reusable data products for cross-functional business teams
• Build and optimize SQL queries, ETL processes, and data transformation workflows
• Develop analytics solutions using Python and PySpark
• Support data pipeline design, validation, and governance initiatives
• Partner with stakeholders to gather requirements and translate business needs into data solutions
• Collaborate with data science, engineering, and reporting teams to deliver standardized data products
• Evaluate and recommend appropriate technologies based on business requirements, cost, and scalability
• Support data visualization and reporting initiatives
• Ensure data quality, integrity, and governance standards are maintained
• Analyze large-scale datasets and provide actionable business insights
Minimum Requirements:
• 3-5 years of data analytics, data engineering, or related experience
• Expert-level SQL skills including joins, CTEs, window functions, and complex query development
• Experience with ETL processes and data cleansing
• Strong Python development experience
• Experience developing solutions using PySpark
• AWS cloud services experience
• Experience working with large datasets and enterprise-scale data environments
• Strong analytical and problem-solving abilities
• Excellent communication and stakeholder management skills
• Ability to work independently and take ownership of projects
Preferred Qualifications:
• Experience with Tableau, Qlik Sense, or similar visualization tools
• Experience with SQL Server, Oracle, IBM DB2, or related databases
• Power Platform experience
• Exposure to data science, forecasting, or predictive analytics initiatives
• Knowledge of geospatial analysis or ESRI/ArcGIS concepts
• Experience supporting cloud and on-premises data ecosystems
