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Data Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience in AWS/Public Cloud platforms, Knowledge of Data pipelines and cloud computing tools, Hands-on skills in Data storage solutions, Experience with programming languages like Python and Spark, Familiarity with monitoring and alerting tools.

Key responsabilities:

  • Design and maintain data pipelines and architectures
  • Collaborate with analysts for data integrity
  • Implement end-to-end automated CICD practices
  • Ensure data quality and standardization
  • Create documentation for data processes and architecture
AAPC logo
AAPC SME https://www.aapc.com/
51 - 200 Employees
See more AAPC offers

Job description

This is a remote role

We are looking for a talented Data Engineer with expertise in AWS to join our data team. In this role, you will design, build, and maintain robust data pipelines and architectures to support our data-driven decision-making processes. You will work closely with data analysts and scientists to ensure data integrity and accessibility, optimizing data workflows in a cloud environment. A strong focus on automated testing is essential to ensure the reliability and performance of our solutions.

Key Responsibilities:
  • Understands data architecture and overall business requirements around the data platform. Collects key data requirements from product/business groups on a regular basis.
  • Accountable for data strategy on how the organization collects, processes, uses, governs, and stores data.
  • Owns data engineering life cycle including research, proof of concept, architecture, development, testing, deployment, and maintenance of data platform.
  • Data collection through pipelines from various sources, including databases, APIs, partners, and external providers.
  • Standardize data by converting different data formats from sources to a standard format and cleanse it by removing inconsistencies.
  • Design and develop ETL or ELT, cleansing, aggregation, enrichment, and making data usable for analytics.
  • Make consumable data available on high-throughput data stores and build standard data consumption patterns (APIs, flat file, Database tables etc.) for users and systems to fetch data at scale.
  • Add instrumentation across data pipelines for monitoring and alerting on internal problems before they result in user-visible outages.
  • Build processes and diagnostic tools to troubleshoot, maintain, and optimize data processes and respond to customer and production incidents.
  • Implements end-to-end automated CICD practices for building, scanning, packaging, testing, and deploying on a data platform, with the ability to continuously deliver secure solutions at scale.
  • Adopt continuous learning of modern data engineering practices. Maintain industry standards through incremental adoption of new technology and best practices. 
  • Create and continuously maintain high-quality, up-to-date documentation of data processes, data dictionaries, and transformations to meet audit and compliance standards.
Qualifications:
  • Experience working in AWS/Public Cloud-based infrastructure.
  • Basic understanding and hands-on skills in Terraform/IaC.
  • Strong knowledge and experience in Data pipelines through modern cloud computing.
    •  Databricks, Glue, Lambda etc.
  • Hands on experience in Data storage and warehousing through cloud storage.
    • S3, managed warehousing, Postgres, RDS, Redshift, etc.
  • Hands-on experience in Data analysis, coding, and testing.
    • Python, Spark, Scala, Shell
  • Experience creating data architecture diagrams, dictionaries, documentation, and test plans.
  • Experience with basic data monitoring and alerting patterns and tools. 
Who we are:

AAPC (www.aapc.com) is the nation’s largest and fastest-growing training, certification, and solutions association in healthcare, supporting more than 200,000 members. 

Attributes:

DRIVEN | Self-starts and stays highly motivated to achieve ambitious goals. Shares contagious energy and enthusiasm liberally. Takes initiative without always being directed.  Demonstrates confidence in decision-making and effectively balances autonomy and authority with accountability.  

HUMBLE | Learns, adapts, and improves relentlessly. Seeks feedback without insecurity and implements coaching. Recognizes others' contributions gratefully. Approaches work and relationships with an abundance mentality. Places the needs of others above self. 

TRANSPARENT| Integrity-centered, honest, truthful, and trustworthy in all aspects of work. Keeps commitments to external and internal parties. Holds self strictly accountable, valuing the trust placed in them by others. 

SUPPORTIVE | Empowers and uplifts others. Listens actively and responds with empathy and understanding. Prioritizes well-being and growth of team members and customers ahead of own interest. Faces challenges together, believing in collective strength and unity. 

INNOVATIVE | Entrepreneurial spirit with a scrappy mentality. Dreams big, sees opportunity, pursues full potential, and finds ways to accomplish the impossible. Rolls up sleeves and does real work. Works quickly, intelligently, and flexibly. 

What we Offer
  • Compensation commensurate with experience
  • Comprehensive benefits package including medical, dental and vision insurance
  • Health Savings Account
  • Generous PTO and Holiday Pay
  • 401(k) retirement plan
  • Remote work-from-home option consideration
AAPC is an Equal Opportunity Employer. This company does not and will not discriminate in employment and personnel practices on the basis of race, sex, age, disability, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items.

We are an Equal Opportunity Employer. This company does not and will not discriminate in employment and personnel practices on the basis of race, sex, age, disability, religion, national origin, or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above-listed items.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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