13 senior data engineer fandango Jobs in orlando, fl
INSPYR Solutions is Hiring a Data Engineer Near Orlando, FL
Location: Orlando, FL
Duration: 18 months
Compensation: $80-90/hr
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Job Description: We are seeking a skilled and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data pipelines and infrastructure. You will work closely with our data scientists and analysts to ensure that data is collected, processed, and analyzed efficiently and accurately. The ideal candidate will have a strong background in Python, SQL, GitHub, and Airflow, as well as experience working with large-scale data systems.
Responsibilities:
- Design, develop, and maintain scalable data pipelines and infrastructure.
- Collaborate with data scientists and analysts to understand data requirements and implement solutions.
- Develop and optimize SQL queries for data extraction, transformation, and loading (ETL) processes.
- Implement data quality checks and monitoring to ensure data accuracy and consistency.
- Work with stakeholders to gather requirements and prioritize tasks.
- Troubleshoot and resolve issues related to data processing and pipeline performance.
- Utilize version control systems, such as Git and GitHub, for managing codebase and collaborating with team members.
- Implement best practices for data engineering, including data governance, security, and compliance.
- Stay current with industry trends and emerging technologies in data engineering and analytics.
- Document data pipelines, processes, and workflows for knowledge sharing and future reference.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven experience as a Data Engineer or similar role.
- Strong programming skills in Python, with experience in data processing libraries such as Pandas, NumPy, and PySpark.
- Proficiency in SQL and database management systems (e.g., PostgreSQL, MySQL, SQL Server).
- Experience with workflow orchestration tools, such as Apache Airflow.
- Familiarity with version control systems, particularly Git and GitHub.
- Experience working with large-scale data platforms and distributed computing frameworks (e.g., Hadoop, Spark).
- Solid understanding of data modeling, schema design, and data warehousing concepts.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Master's degree in Computer Science, Engineering, or related field.
- Certification in relevant technologies (e.g., AWS Certified Big Data - Specialty).
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Knowledge of streaming data processing technologies (e.g., Kafka, Apache Flink).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform).
- Comprehensive medical benefits
- Competitive pay, 401(k)
- Retirement plan
- …and much more!
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Job Summary
Full Time
$106k-131k (estimate)
06/28/2024
07/17/2024
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
03/28/2022: New Suffolk, NY
Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
04/13/2022: Harrisburg, PA
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.
