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Senior Data Engineer

Overview

In today’s rapidly evolving technology landscape, an organization’s data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge.

 

At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible.

 

For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization.  To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information.  At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.

 

Contributions

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Senior Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

  • Lead and architect migration of data environments with performance and reliability.
  • Assess and understand the ETL jobs, workflows, BI tools, and reports
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
  • Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
  • Key must have skill sets – Python, AWS
  • Support an Agile software development lifecycle
  • You will contribute to the growth of our Data Exploitation Practice!

 

Qualifications

Required:

  • Ability to hold a position of public trust with the US government.
  • 5-7 years industry experience coding commercial software and a passion for solving complex problems. 
  • 5-7 years direct experience in Data Engineering with experience in tools such as:
    • Big data tools: Hadoop, Spark, Kafka, etc.
    • Relational SQL and NoSQL databases, including Postgres and Cassandra.
    • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
    • AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)
    • Data streaming systems: Storm, Spark-Streaming, etc.
    • Search tools: Solr, Lucene, Elasticsearch
    • Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Preferred:

  • Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
  • Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Experience manipulating, processing, and extracting value from large, disconnected datasets.
  • Experience manipulating structured and unstructured data for analysis
  • Experience constructing complex queries to analyze results using databases or in a data processing development environment
  • Experience with data modeling tools and process
  • Experience architecting data systems (transactional and warehouses)
  • Experience aggregating results and/or compiling information for reporting from multiple datasets
  • Experience working in an Agile environment 
  • Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models

About steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. 

 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

 

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

 

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program. 

 

Average salary estimate

$160000 / YEARLY (est.)
min
max
$140000K
$180000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Engineer, Steampunk

At Steampunk, we’re looking for a seasoned Senior Data Engineer to join our vibrant team in McLean, where your passion for data and problem-solving will shine. In today’s fast-paced tech environment, data has become a pivotal element for organizations striving to meet their mission and business objectives. As our Senior Data Engineer, you'll play a critical role in designing and developing enterprise-grade data platforms and services that tackle complex data challenges. You'll have the opportunity to work alongside skilled data practitioners, applying your skills in Python and AWS to create robust data environments that ensure performance and reliability. You will lead efforts in data migration and assessment, overseeing ETL jobs, workflows, and reports while addressing technical inquiries related to customization and integration. Our approach intertwines Human-Centered Design and DevSecOps, fostering an innovative atmosphere where you can contribute to the growth of our Data Exploitation Practice. Whether you're leveraging big data tools like Hadoop and Spark or working with cloud services, your experience and initiative will help our clients become data-driven and efficient, ultimately enhancing their missions. Are you ready to make a significant impact at Steampunk?

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Steampunk
What are the key responsibilities of the Senior Data Engineer at Steampunk?

As a Senior Data Engineer at Steampunk, your key responsibilities will involve leading and architecting data migration projects, developing enterprise-grade data platforms, and resolving technical inquiries about data products. You will also assess ETL jobs and workflows, implement data pipeline management, and work in an Agile software development environment. Your role will require close collaboration with clients to ensure their data strategy aligns with their overarching business goals.

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What qualifications do I need to apply for the Senior Data Engineer position at Steampunk?

To be considered for the Senior Data Engineer position at Steampunk, you should have 5-7 years of experience in Data Engineering, along with expertise in big data tools like Hadoop and Spark, SQL and NoSQL databases, and cloud services like AWS. Proficiency in Python is essential, alongside a proven ability to solve complex problems in data-related projects. Applicants must also be eligible to hold a position of public trust with the US government.

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What technologies will I work with as a Senior Data Engineer at Steampunk?

As a Senior Data Engineer at Steampunk, you'll work with a variety of technologies, including big data tools (Hadoop, Spark, Kafka), relational and NoSQL databases (Postgres, Cassandra), and cloud services (AWS, Azure, GCP). You'll also engage with data pipeline management tools like Azkaban and Airflow, data streaming systems, and both object-oriented and functional scripting languages, primarily Python.

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Is Steampunk an equal opportunity employer for the Senior Data Engineer role?

Yes, Steampunk is an equal opportunity employer. All qualified applicants for the Senior Data Engineer role will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or other legally protected characteristics. The company values diversity and aims to create an inclusive workplace.

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What benefits can I expect as a Senior Data Engineer at Steampunk?

Steampunk offers a competitive compensation range for the Senior Data Engineer role, typically between $140,000 and $180,000 annually. However, this is just one aspect of the total compensation package, which also includes benefits aimed at supporting employees' overall well-being and career growth. For more detailed information about benefits, candidates are encouraged to inquire during the application process.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with cloud services as a Senior Data Engineer?

Certainly! When answering this question, focus on specific projects where you've utilized cloud services like AWS or Azure. Discuss the types of services you've worked with such as EC2, EMR, or Redshift, and how they've influenced your data engineering processes. Highlight any migrations you’ve led or challenges you overcame in cloud environments.

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How have you implemented ETL processes in your previous roles?

Discuss your experience with designing and implementing ETL processes. Share specific examples of tools you’ve used, such as Apache Airflow or Talend, and the types of data transformations you executed. Emphasize how you ensured data quality and integrity throughout the ETL lifecycle.

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What is your approach to data migration projects?

Explain your methodology for executing data migration projects, including assessment, planning, and execution phases. Mention any tools or frameworks you prefer using and the importance of minimizing downtime and ensuring data integrity during the migration process.

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Describe a challenging data problem you have solved in your previous role.

Choose a relevant instance that showcases your analytical thinking and problem-solving skills. Detail the challenges you faced, the steps you took to address them, and the final outcomes. Emphasize your technical approach and collaboration with team members to find effective solutions.

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How do you ensure the reliability and performance of data pipelines?

Discuss techniques you utilize for monitoring and optimizing data pipelines, such as implementing logging, automated testing, and performance tuning. Share any metrics or outcomes that demonstrate the improvements you have achieved over time.

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What tools do you use for data visualization, and why?

Mention any specific data visualization tools you have worked with, such as Tableau or Power BI, and explain how you utilize them to present data insights. Highlight the importance of choosing the right visualization to convey complex data clearly to stakeholders.

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How do you handle data security and compliance in your role as a data engineer?

Discuss the practices you adopt to ensure data security, such as encryption, access control, and regular audits. Also, mention any compliance frameworks you are familiar with, such as GDPR or HIPAA, and how you ensure data handling aligns with these standards.

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What experience do you have with both SQL and NoSQL databases?

Share your experience working with different databases, outlining specific scenarios where you've chosen SQL over NoSQL or vice versa. Discuss any projects that required transitioning between the two and what drove those decisions based on data requirements.

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Can you provide an example of how you've collaborated with data scientists?

Explain a specific project where you worked alongside data scientists, detailing your role in ensuring the data was properly processed and accessible for analysis. Highlight communication techniques you used to align goals and ensure effective collaboration.

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What impacts do you expect from the data exploitation practices you implement?

Anticipate discussing the long-term benefits of your data exploitation strategies, such as improving decision-making processes, driving operational efficiencies, and enhancing customer experiences. Highlight metrics or examples where your work has led to measurable outcomes.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
March 29, 2025

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