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Contract Data Engineering Jobs in Miami, FL (NOW HIRING)

Data Engineer

Miami, FL ยท On-site

$109K - $131K/yr

Miami, FL (Onsite preferred) Long Term Contract Role Overview We are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company's analytics. This role ...

Senior Snowflake Data Engineer

Hollywood, FL ยท On-site

$97K - $132K/yr

Hybrid - Hollywood, FL (Onsite presence required) Type: 6-12+ Month Contract (Potential to Convert) Position Overview We are seeking a Senior Snowflake Data Engineer to join our data engineering team.

Data Engineer

Miami, FL ยท On-site

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required. Thorough hands-on experience with Salesforce is a must , and experience with BigQuery is also a ...

This position is contingent upon contract award** SOSi is seeking a Full-Stack Data Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a ...

Please note that the availability of this position is contingent upon contract award. Benefits: At ... cloud based data engineering. * Expertise in building scalable, secure web applications ...

Senior Data Engineer

Miami, FL ยท On-site

$101K - $137K/yr

This role sits at the intersection of data engineering and platform engineering -- you will be ... data contracts between producers and consumers -- row count checks, null rate thresholds ...

Partner with engineering, product, analytics, and security to turn business needs into durable data ... Set standards for schemas, contracts, orchestration, storage layers, and semantic/metrics models

Staff Data Engineer

Miami, FL ยท On-site

$109K - $131K/yr

... Engineering team at Payabli. You won\'t inherit an existing architecture or a pipeline graph ... contracts right. * Own reliability and accuracy. This is financial data, so correctness is non ...

Data Engineer

Hollywood, FL ยท On-site

$190K/yr

Set standards for batch processing, real-time events, APIs, data contracts, schema changes, and ... Publish the initial engineering standards and operating process for future integrations. * Provide ...

Data Engineer

Fort Lauderdale, FL ยท On-site

$109K - $131K/yr

Summary: The Data Engineer supports operations and conducts data analytics projects to provide ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Senior Data Engineer

Miami, FL ยท Hybrid

$101K - $137K/yr

Collaborate with different teams on data contracts and schema agreements * Lead design and optimization of high-volume data pipeline. * Define and enforce data engineering standards - naming ...

Contribute to CI/CD workflows (Azure DevOps), support data contracts with Data Engineering, and develop scalable API and batch-serving patterns. * Communicate insights, assumptions, risks, and trade ...

Senior Snowflake Data Engineer

Hollywood, FL ยท On-site

$97K - $132K/yr

Hollywood, FL (Onsite, 5 days/week) Type: 6-month contract-to-hire Overview: Seeking an experienced Data Engineer with 5+ years of hands-on Snowflake expertise to design, develop, and optimize ...

Head of Data

Miami, FL ยท Remote

$15K - $18K/mo

Recruit, lead, and mentor a high-performing group of data engineers, data scientists, and business intelligence analysts. * Vendor Ecosystems : Negotiate and optimize contracts with critical third ...

Head of Data (Remote)

Miami, FL ยท Remote

$15K - $18K/yr

Recruit, lead, and mentor a high-performing group of data engineers, data scientists, and business intelligence analysts. * Vendor Ecosystems : Negotiate and optimize contracts with critical third ...

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Showing results 1-20

Contract Data Engineering information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do contract data engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for contract data engineering 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 the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

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

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.
What are the most commonly searched types of Data Engineering jobs in Miami, FL? The most popular types of Data Engineering jobs in Miami, FL are:
What are popular job titles related to Contract Data Engineering jobs in Miami, FL? For Contract Data Engineering jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Miami, FL look for? The top searched job categories for Contract Data Engineering jobs in Miami, FL are:
What cities near Miami, FL are hiring for Contract Data Engineering jobs? Cities near Miami, FL with the most Contract Data Engineering job openings:

Senior Snowflake Data Engineer

Kforce Technology Staffing

Davie, FL โ€ข On-site

$104K - $126K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

RESPONSIBILITIES:
Kforce has a client seeking a Senior Snowflake Data Engineer in Fort Lauderdale, FL.
Duties:
* Design, develop, and maintain scalable, high-performance data pipelines and ETL/ELT workflows using Snowflake and modern data engineering best practices
* Architect and optimize Snowflake data models, including schema design, data clustering, performance tuning, and cost optimization
* Collaborate closely with data analysts, data scientists, product teams, and business stakeholders to convert clear requirements into robust data engineering solutions
* Troubleshoot and resolve issues related to data accuracy, performance, and pipeline reliability
* Contribute to architectural decisions, development standards, and overall platform strategy
* Work independently on complex tasks while also contributing to a collaborative, team-oriented environment
REQUIREMENTS:
* 7+ years of professional experience in Data Engineering or related fields
* 5+ years of hands-on experience with Snowflake, including Snowflake SQL, Snowflake Tasks, Streams, Warehouses, RBAC, Clustering, and Performance Optimization
* Strong expertise in SQL, modern ETL/ELT frameworks, and data pipeline development
* Experience in building and maintaining enterprise Data Lakes and/or Data Warehouses
* Experience with cloud platforms such as Azure or AWS
* Proficiency in Python for data engineering
* Familiarity with orchestration tools such as Azure Data Factory and/or Airflow
* Solid understanding of data modeling, data warehousing principles, and distributed data systems
* Proven ability to work independently, owning end-to-end solutions from requirement to deployment
* Excellent communication and teamwork skills, with the ability to work across technical and business teams
* Strong problem-solving abilities and critical thinking
* Ability to translate ambiguous or evolving requirements into structured technical solutions
* Collaborative mindset with the ability to mentor junior engineers
* Strong sense of ownership, accountability, and quality
Preferred Qualifications:
* SnowPro certification(s) a plus
* Experience with CI/CD pipelines for data engineering workloads
* Knowledge of Delta Lake, Databricks, Spark, or other big data processing frameworks
* Background in enterprise data platforms with high volumes and strict SLAs
* Experience implementing data governance, metadata management, and quality frameworks
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.