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Fearless · 3 weeks ago

Consultant, Data & Analytics

Baltimore, MD

Part-time

Onsite

Mid Level

$92K/yr - $146K/yr

4+ years exp

Fearless is a digital integration consultancy on a mission to build a better tomorrow. The consultant will leverage data engineering skills to design, build, and optimize scalable data infrastructure for high-quality analytics, collaborating with cross-functional teams to support a wide range of data needs.

Computer Software

Comp. & Benefits

No H1B

U.S. Citizen Only

Responsibilities

Design, build, and maintain scalable, distributed data pipelines and ETL/ELT workflows

Implement data modernization methods, including use of APIs, machine learning technologies (e.g., NLP), and artificial intelligence capabilities

Build secure, fault-tolerant, compliant data infrastructure aligned with CDC and federal standards

Assemble, clean, and optimize large, complex datasets to meet functional and non-functional business requirements

Develop automated processes for data delivery, data quality validation, and performance optimization

Utilize PySpark or Databricks to build and maintain distributed data processing pipelines

Collaborate with Data Scientists, Analysts, and cross-functional teams to improve data models and support data-driven decision making

Support ad-hoc data and analysis needs to better understand program and customer behaviors

Evaluate tools, technologies, and platforms for data ingestion, machine learning, orchestration, and analytics

Monitor data volume, data quality, data pipeline performance, and system reliability

Troubleshoot and resolve data and pipeline issues, performing root-cause analysis where needed

Build analytical tools, dashboards, and interfaces that deliver actionable insights to stakeholders

Document technical processes, data flows, and pipelines in accordance with CDC documentation requirements. Ensure all electronic deliverables are Section 508 compliant

Follow federal security, encryption, and records management requirements (FIPS-validated encryption, Privacy Act compliance, NARA standards)

Qualification

Data engineeringETL/ELT pipeline designPythonSQLPySparkDatabricksCloud-based ecosystemsMachine learningData qualityAnalytical ThinkingSynthetic ThinkingOwnership & AccountabilityConsultative AdvisingCommunicating with InfluenceEnvironmental AwarenessAgile deliveryNoSQL databasesAdaptability

Required

Minimum 4 years of relevant experience

Ability to obtain and maintain a Public Trust clearance

Bachelor's degree in a relevant field such as Computer Science, Data Science, Information Systems, Engineering, or a related discipline

Strong experience with data engineering fundamentals, such as: ETL/ELT pipeline design, Data modeling, Workflow orchestration, Distributed data processing

Strong programming experience with Python, SQL, and/or Spark

Experience integrating machine learning pipelines with data engineering workflows

Experience working with message queuing, stream processing, and large-scale data systems

Strong understanding of data quality, data validation, and data governance practices

Strong analytical and problem-solving skills with attention to detail

Ability to collaborate with cross-functional teams and translate business needs into technical requirements

Ability to independently learn new tools, frameworks, and technologies as needed

Experience with SQL and NoSQL databases (Postgres, MySQL, MongoDB, Cassandra, etc.)

Experience working in Agile delivery environments

Analytical Thinking: The ability to observe and interpret information, break down complex problems into parts, identify patterns/relationships, and draw logical conclusions to develop effective solutions

Synthetic Thinking: The ability to combine different ideas, information, or concepts to create a new, complex understanding or solution by integrating disparate elements into a new, meaningful whole

Adaptability: Comfort with change, flexibility in the face of shifting demands and resilience to setbacks

Ownership & Accountability: Committed to taking responsibility for outcomes, ensuring that all commitments are met with a focus on enhancing service delivery

Consultative Advising: Identifies and articulates client challenges, scopes projects and aligns recommendations to business goals and client expectations

Communicating with Influence: Capable of crafting and delivering clear, persuasive messages that integrate data insights and structured narratives, tailored to the strategic needs of diverse audiences to drive effective decision-making

Environmental Awareness: Maintains awareness of external dynamics, power structures within client environments, as well as regulatory trends and contract requirements that influence service delivery