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Data Engineer
1904labs St. Louis, MO
$103k-127k (estimate)
Full Time 0 Months Ago
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1904labs is Hiring a Remote Data Engineer

About Us

At 1904labs, we are a human-centered technology company that uses 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 opportunities for 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.

Basic Qualifications

  • 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.

Impact

As a Data Engineer and Consultant at 1904labs, you will have the opportunity to make an impact in several ways:

  • Collaborate with intensely curious and innovative teammates and use your technical skills to create complex technical solutions that solve new and ongoing business problems for our clients.
  • Guide clients to make data-driven decisions that positively impact their business and customers.
  • Use modern technologies and tools to create solutions that are innovative, efficient, and user-friendly.
  • Create inclusive, equitable, and user-friendly software & solutions that empower diverse communities and deliver high value to our clients.

A Day in The Life

  • Attend Agile ceremonies and other meetings to collaborate with your team, divide up user stories, and solve problems based on your individual skills.
  • Work with clients and internal teams to design, and implement data solutions using a variety of programming languages and technologies, including, but not limited to
    • Programming languages (ie. Scala, Java, Python)
    • Relational Databases (ie. PostgreSQL, Oracle, SQL Server)
    • Non-relational Databases (ie. MongoDB, ElasticSearch, Solr, Redis)
    • Big Data Technologies (ie. Spark, Hive, HBase/Cassandra)
    • Cloud-based data ecosystems (ie. AWS, Azure, or GCP)
    • Streaming Technologies (ie. Spark Streaming, Kafka, or Nifi)
  • Utilize a range of data modeling techniques to build data warehouses, data lakes, and operational applications.
  • Use your expertise to help clients make sense of their data and build insights for their businesses.
  • Analyze data to find trends, patterns, and insights and present those to the clients to help them make data-driven decisions.
  • Create and maintain documentation to ensure a smooth workflow, knowledge sharing, and efficiency.
  • Stay up-to-date with the latest trends in data engineering and share your knowledge with the team.

Why Choose 1904labs?

At 1904labs, we believe that innovation leads to progress, and we value creativity, inclusivity, and personal growth. Here are some reasons to choose 1904labs:

  • Innovation Hours: We believe in giving our employees time and space to innovate and work on their own ideas and projects.
  • Innovation First - work where it makes sense: What matters is collaborating with your team and meeting your individual commitments. So long as that remains true, each day we want you, in conversation with your team, to work from where it makes the most sense
  • Competitive salary, bonus, and benefits package, including medical, dental, and paid parental leave.
  • Personal and professional growth: We invest in the personal and professional growth of our employees, crafting career paths tailored to their aspirations.
  • Experienced team: Our teams consist of intensely curious and innovative thinkers from a variety of disciplines who inspire each other to come up with the best solutions possible.
  • Trusted advisor to our clients: We work with our clients to effect change within their organizations and create solutions that make an impact.
  • Inclusion inspires innovation: We believe that a diverse workforce builds better, more inclusive software.
  • Flexible schedules and 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.

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

04/07/2023

EXPIRATION DATE

05/14/2024

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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.

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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