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Sql Python Data Engineer Jobs in Miami, FL (NOW HIRING)

Univision Communications, Inc.

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Strong proficiency in Python, SQL, and data transformation frameworks such as dbt * Experience ...

Univision

Senior Data Engineer

Miami, FL

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Strong proficiency in Python, SQL, and data transformation frameworks such as dbt * Experience ...

Vaco LLC

Data Engineer/Data Architect

Hollywood, FL · On-site

Develop reliable ETL and ELT processes using SQL, Python, Apache Spark, and orchestration tools ... engineering work. Data Quality and Reliability Implement automated checks for completeness ...

Rempli

Data Engineer (AI-focused)

Miami, FL · On-site

$90K - $110K/yr

Data Engineer (AI-focused) We work with teams building data foundations for AI-and we're looking to ... Strong SQL and Python skills * Experience with ETL/ELT pipelines and big data tools * Familiarity ...

Stellar IT Solutions LLC

Data Engineer (Full-time)

Miami, FL · On-site

$109K - $131K/yr

Proficiency in SQL and at least one programming language commonly used in data engineering (such as Python, Java, or Scala). * Bachelor's degree in Computer Science, Information Systems, Engineering ...

New

OneImaging

Data Engineer

Miami, FL · On-site

$120K - $180K/yr

Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks. * Soft ... Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines. * Knowledge of ...

Total Performance Consulting

Data Engineer

Florida City, FL · Remote

$105K - $126K/yr

Develop and maintain SQL Server databases, including schema design, indexing strategies, query ... Python, working proficiency for scripting, automation, and data pipeline support. * JS, Node.js, ...

Norwegian Cruise Line

Cloud Data Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell.**COMPETENCIES/SKILLS*** Good understanding of OLAP Cubes, Dimensional model.

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

What You Bring • 5+ years of experience in data engineering or a closely related role. • Strong SQL and Python skills - comfortable building pipelines, writing transformation logic, and debugging ...

MSR Cosmos

Data Engineer with DynamoDB

Miami, FL · On-site

Expert level proficiency in Python for data processing, ETL development, and automation (PySpark ... Strong SQL skills and understanding of data warehousing principles * Experience with version ...

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Showing results 21-40

All JobsSql Python Data Engineer JobsSql Python Data Engineer Jobs in Miami, FL

Sql Python Data Engineer information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do sql python data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for sql python data engineer in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a SQL Python data engineer?

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

What is the difference between Sql Python Data Engineer vs Data Analyst?

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

Sql Python Data Engineer jobs near you
Infographic showing various Sql Python Data Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,066 per year, or $59.6 per hour.

Senior Data Engineer

Miami, FL • On-site

Univision Communications, Inc.
See more jobs at Univision Communications, Inc.external

$101K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

At TelevisaUnivision, we are the world's leading Spanish-language media company, reaching millions of consumers across digital, streaming, social, audio, linear television, and live events. As we continue expanding our global streaming platform, ViX, we are investing heavily in technology, data, and innovation to deliver exceptional subscriber experiences and drive long-term business growth.
The Senior Data Engineer will play a key role in the design, development, and deployment of our data
platform. The ideal candidate will have a strong technical background in data engineering and be
experienced in building and maintaining large-scale data systems. The Senior Data Engineering will work closely with other teams, such as data science and
product development, to understand their data needs and ensure initiatives are driven to completion.
The ideal candidate combines strong technical expertise with a collaborative mindset, a passion for solving complex data challenges, and a commitment to delivering high-quality solutions at scale.
ABOUT YOU:
You are a data engineering professional who thrives in a fast-paced, collaborative environment and enjoys transforming complex data into actionable business value.
You bring:
  • Deep expertise in modern cloud-based data platforms, particularly Google Cloud Platform (GCP)
  • Strong proficiency in Python, SQL, and data transformation frameworks such as dbt
  • Experience working with large-scale distributed systems and big data technologies, including Spark, and Hadoop
  • Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform
  • Excellent problem-solving skills with the ability to design scalable and efficient solutions
  • Strong attention to detail and the ability to manage multiple priorities effectively
  • Outstanding communication and collaboration skills, with the ability to partner across technical and non-technical teams
  • A continuous improvement mindset and passion for mentoring and knowledge sharing

YOUR DAY-DAY: (Responsibilities)
Data Platform Development
  • Design, develop, and maintain scalable, reliable, and efficient data pipelines using Airflow, Python, SQL, and dbt to support business requirements
  • Build and optimize data models and workflows to support analytics, reporting, machine learning, and product initiatives
  • Ensure data quality, integrity, security, and availability across the data ecosystem

Cross-Functional Collaboration
  • Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand business requirements and translate them into technical solutions
  • Drive data architecture discussions and contribute to long-term platform strategy
  • Collaborate with stakeholders to identify opportunities for process improvements and operational efficiencies

Performance & Optimization
  • Optimize data storage, processing, and orchestration for performance, scalability, and cost efficiency
  • Monitor, troubleshoot, and resolve data pipeline and platform issues
  • Implement best practices for data governance, observability, and operational excellence

Leadership & Team Contribution
  • Mentor and support junior data engineers through technical guidance and knowledge sharing
  • Contribute to architectural decisions and engineering best practices
  • Participate in technical interviews and help grow a high-performing data engineering team

YOU HAVE: (Qualifications, Experience)
Required Experience & Skills
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field
  • 5+ years of experience in Data Engineering, Data Warehousing, or Big Data environments
  • Advanced proficiency in Python and SQL
  • Hands-on experience building and maintaining production-grade data pipelines
  • Strong experience with cloud data platforms, preferably Google Cloud Platform (GCP); AWS experience will also be considered
  • Experience with workflow orchestration and transformation tools such as Airflow and dbt
  • Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform
  • Solid understanding of distributed data processing frameworks, including Spark
  • Experience working with modern data warehousing and storage technologies
  • Strong analytical, troubleshooting, and problem-solving abilities

Preferred Qualifications
  • Experience supporting machine learning and data science workflows
  • Familiarity with data observability, data quality frameworks, and CI/CD practices
  • Experience working within subscription-based, media, streaming, or digital product organizations

ELIGIBILITY REQUIREMENTS
  • Must be authorized to work in the United States
  • Must be willing to work from our Miami, Florida office
  • Employment and educational background verification required

OUR BENEFITS:
TelevisaUnivision believes that a happy, well-balanced employee is what makes our culture thrive. We offer a wide selection of perks and benefits including PTO, tuition reimbursement, wellness and employee support programs, 401(k), and life and other insurance plans.
This is in addition to a comprehensive and competitive health benefits package featuring medical, dental, and vision coverage options.
TelevisaUnivision is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to characteristics protected by law.

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