Mindlance

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer, lasting 6 months with possible extensions, offering a pay rate of “$X/hour.” It requires expertise in Python, SQL, AWS, and experience with Postgres/SQL Server, alongside on-call responsibilities in a hybrid remote/Plano, TX setting.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
February 3, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Deployment #Pandas #MySQL #RDS (Amazon Relational Database Service) #Infrastructure as Code (IaC) #SQL Queries #Data Engineering #SQL (Structured Query Language) #AWS RDS (Amazon Relational Database Service) #Automation #Terraform #Python #SQL Server #Monitoring #AWS (Amazon Web Services) #Databases #Schema Design #Cloud #DevOps #Scripting
Role description
Position: Data Engineer (AWS | Python | SQL | Database Support) Location: Remote/Plano, TX (Hybrid) Duration: 06 Months (Possible extensions) Job Description: We are hiring a Data Engineer to join a horizontal data systems support team responsible for managing and supporting enterprise-wide databases. This role combines data engineering, cloud infrastructure, and DevOps support, with a strong focus on AWS-hosted databases, automation, and infrastructure as code. The ideal candidate will be hands-on with Python, SQL, and AWS, comfortable troubleshooting production systems, and willing to participate in an on-call rotation to ensure database reliability and performance. Key Responsibilities: • Support and maintain production Postgres, MySQL, and SQL Server databases hosted on AWS RDS • Develop and automate solutions using Python scripting and SQL queries • Write, optimize, and troubleshoot complex SQL queries for performance improvements • Implement Infrastructure as Code using tools like Terraform or CloudFormation • Provide database reliability, monitoring, and operational support • Respond to incidents, alerts, and developer requests during on-call rotations • Assist engineering teams with query optimization, schema design, and database best practices • Participate in deployments and release support activities • Continuously improve system stability through automation and proactive monitoring Required Skills: • Experience in Data Engineering or Database Engineering • Strong hands-on experience with: • Python (scripting, data handling, pandas basics) • SQL (joins, aggregations, optimization) • AWS (especially RDS) • Experience working with Postgres and/or SQL Server • Knowledge of Infrastructure as Code (Terraform/CloudFormation or similar) • Experience supporting production environments • Strong troubleshooting and problem-solving skills Nice to Have: • DevOps or SRE exposure • Experience supporting multiple application teams • Enterprise or financial services environment experience On-Call Expectations • Weekly rotation via PagerDuty • Monitor alerts and Slack channels • Handle incident response and database issues • Participate in evening deployments (typically Thursdays) • Average ~1 page per week during rotation • Reduced planned workload during on-call weeks “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”