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Data Engineer
1904labs Saint Louis, MO
$103k-127k (estimate)
Full Time 8 Months Ago
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1904labs is Hiring a Data Engineer Near Saint Louis, MO

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About Us

At 1904labs, we are a human-centered technology company that focuses on using modern tools and technologies to solve enterprise organizations' crunchiest challenges. We look for innovative, courageous, intensely curious, and team-minded people. At 1904labs, we are committed to providing each team member with opportunities that will allow personal and professional growth.

The Role

As a Data Engineer team member, you will work in an Agile environment towards developing, operating, and designing components in the data layer. This will include data strategy, data lineage, data warehousing and storage, cloud architecture storage, optimization, Spark, Hive, Scala, Big Data, and a deep understanding of how data is stored and accessed in a modern environment.

Requirements

  • Proficient in at least one programming language. More is better, as is experienced with functional and object-oriented languages. For example Scala, Java, or Python.

  • Proven and recurring success applying software engineering practices like requirements gathering, design, and testing on a team.

  • Working knowledge of the Linux command line and shell scripting

  • Proficient in SQL

  • Comfortable leading discussions with clients, acting as a guide to help them accomplish their tech goals.

Desired Skills

In addition to the requirements above, Data Engineers at the 1904labs have proven work experience in at least two of the following areas:

  • Relational databases like PostgreSQL, Oracle, SQL Server

  • Non-relational or NoSQL databases like MongoDB, ElasticSearch, Solr, Redis

  • Big Data / Hadoop technologies like Spark, Hive, HBase / Cassandra

  • Data Modeling for Data Warehouses, Data Lakes, or operational applications

  • Cloud-based data ecosystems in AWS, Azure, or GCP. For example, in AWS services like S3, Kinesis, EMR, Athena, or Redshift. In Azure, services like Blob storage, Event Hub, Data Factory, Synapse, or Cosmos DB. In GCP, services like Pub/sub, Dataproc, BigQuery, BigTable, or Datastore.

  • Streaming technologies like Spark Streaming or NiFi, message queues like Kafka or Rabbit MQ

Why Choose 1904labs?

  • Innovation Hours - 10% of our work week is set aside to work on our own ideas and projects. We believe that giving folks the time and space to innovate and tinker allows them to bring fresh ideas and perspectives to the work we do.

  • Innovation First - work where it makes sense - each day we want you, in conversation with your team, to work from where it makes the most sense.

  • Competitive salary, bonus, and benefits (medical, dental, paid parental leave, 401k match).

  • We invest in the personal and professional growth of every employee because we believe growth leads to innovative solutions and personal fulfillment.

  • Career paths are crafted by you and supported and nurtured by 1904labs.

  • Experienced team made up of intensely curious and innovative thinkers from a variety of disciplines who inspire each other to come up with the best solutions possible.

  • Being a trusted advisor to our clients allows us to affect change within their organizations.

  • We work to create an intentional culture crafted around promoting and supporting the needs of our employees as whole people.

  • Flexible schedules and a Human-Centered approach to work.

  • Strong commitment to the community. Take advantage of the relationships we’ve built with our established community partners or pursue any other community endeavor you are passionate about.

  • The offered salary will be dependent upon experience

Don’t meet every requirement? No problem. We encourage you to apply if your skills and experience align without meeting all requirements. We are committed to fair hiring practices and equal treatment and opportunity in all areas of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. 1904labs is an equal-opportunity employer; committed to an environment of inclusion, free from discrimination, harassment, and retaliation.

Job Summary

JOB TYPE

Full Time

SALARY

$103k-127k (estimate)

POST DATE

08/20/2023

EXPIRATION DATE

05/12/2024

WEBSITE

1904labs.com

HEADQUARTERS

Saint Louis, MO

SIZE

50 - 100

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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.

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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.

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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 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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