About Strategic Legal Practices

Based in Los Angeles, Strategic Legal Practices is one of the largest litigation firms within

California, representing clients in a range of consumer protection and civil litigation matters. Our

Firm measures our success by how well our clients do. We are armed with a group of

experienced attorneys, led by one of the most successful Lemon Law and Consumer Fraud

litigators in California. The best predictor of performance is our record of achievement. We are

proud to have successfully helped thousands of clients in their pursuit against car

manufacturers. Our success rate is unmatched by any other Firm.

Software Data Engineer Job Description

Strategic Legal Practices has a great opportunity for a multi-faceted self-starting Software Data

Engineer who wants to help share the way that an influential law firm engages with data

engineering. As a Software Data Engineer with SLP, you will hit the ground running in order to

build new data pipelines and analytic solutions across the firm. Our ideal candidate is passionate

about groundbreaking technology, enjoys creativity, and has strong written and verbal

communication skills.

This role would suit an ambitious Software Data Engineer coming from a background of either

working in a fast growth scale up company, or someone who has worked within a large

organization who has an appetite for taking on more responsibility and autonomy while leading a

team.

This individual must have a background in: data integration, be able to execute API feeds,

create development pipelines between software systems & data warehouses, have a

background in big data analysis. Python code proficiency is a must.

Responsibilities include, but are not limited to, the following:

• Work with business analysts and data engineers to enable self-service analysis for data

analysts within business teams;

• Leverage your data engineering skills to impact our business by taking ownership of key

projects requiring coding and data pipelines;

• Provide operational & production support for the self-service ad-hoc analytics;

• Implementing processes to monitor data quality, ensuring production data is always

accurate and available for key partners and business processes that depend on it;

• Diagnose and debug issues in development, staging and production environments;

• Operational support including issues investigation and remediation;

• Support and maintenance of existing platform management code base and tooling,

including Python, Java SQL, Ansible (or similar) and Cloudformation (or similar).

Qualifications:

• Ability to architect, set up, administer and scale data pipelines and build integration

through external/third-party APIs;

• Experience ingestion of data from internal and third-party sources and familiarity with

data design principles;

• Strong communication skills and ability to discuss the product and with executives and

business owners;

• Excellent problem solving and troubleshooting skills with ability to identify and call out

issues as appropriate;

• Experience of successfully building, optimising and validating models (e.g. linear

models, time-series methods; ML algorithms, Classifiers, etc);

• Understanding principles of ITIL and maintaining provision of products and services to

consumers. Can work with ticketing systems;

Preferred Education and Experience:

• B.S. degree in computer science, mathematics, statistics, or a similar quantitative field;

• 3+ years of related experience required;

• Deep knowledge in various ETL/ELT tools and concepts, data modeling, SQL, query

performance optimization;

• Technical expertise with data models, data mining, and segmentation techniques;

• Knowledge of cloud big data services and technologies;

• More advanced ML algorithms such as Bayesian & Hierarchical Modelling and Markov

Chain Monte Carlo (MCMC) is desirable;

• Python libraries such as Scikit-Learn and PyStan;

• Version control software such as Git;

• Experience with Microsoft Azure and/or AWS;

• Command line tools such as Bash;

Benefits:

• Visa Sponsorship available for the right candidate

• 401k with Employer Match

• Employer Paid Health, Dental & Vision Insurance

• STD, LTD & Life Insurance

• Holidays & Paid Time Off

• Paid Parking

• Referral Program

• Employee Assistance Program

• Employee Discount Program

• Employee breakfasts, lunches, and events