8 Data Engineer Jobs in Petersburg, FL
1872 Consulting is Hiring a Data Engineer Near Petersburg, FL
- Build new systems to provide real-time streaming analytics and event processing pipeline based on fast data architecture
- Build enterprise grade data lake to support both business analytical needs and next generation data infrastructure
- Building data integration toolkit for backend services
- Support our data science team in deploying new algorithms for matchmaking, fraud and cheat detection
- Find better ways to move massive amounts of data from a variety of sources to formats consumable by reporting systems and people
- Improve monitoring and alarms that impact data integrity replication lag
- Support our product development team in creating new events to measure/track
- At least 4-5 years of experience in Scala/Java or Python programming
- AWS data products (Data pipelines, Athena, Pinpoint, S3, etc)
- Experience deploying data infrastructure
- Experience with recognized industry patterns, methodologies, and techniques
- Familiarity with Agile engineering practices
- 2 years of experience on Kubernetes, Helm chart
- 4 years of experience with Spark, Scala and/or Akka
- 4 years of experience with Spark Streaming, Storm, Flink, or other Stream Processing technologies
- 2 years of experience working with Kafka or similar data pipeline backbone
- 4 years of experience with Unix/Linux systems with scripting experience in Shell, Perl or Python
- 3 years' experience with NoSQL implementation (Elasticsearch, Cassandra, etc. a plus)
- At least 4-5 years of experience with Unix/Linux systems with scripting experience
- Familiarity with Snowflake or OLAP
- Familiarity with Kinesis, Lambda
- Prior experience in gaming/Esports
- Prior experience in finance
Job Summary
Full Time
$109k-134k (estimate)
06/04/2024
07/27/2024
1872consulting.com
Chicago, IL
<25
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The job skills required for Data Engineer include Python, AWS, Java, Data Science, Agile, Data Infrastructure, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
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.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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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.
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